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A Comprehensive Guide to Modern Satellites

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Table Of Contents
  1. The Unseen Infrastructure
  2. Part I: The Payload – The Purpose of the Mission
  3. Part II: The Satellite Bus – The Life Support System
  4. Part III: The Ground Segment – The Connection to Earth
  5. Part IV: The Future of the Satellite Ecosystem
  6. Summary
  7. Today's 10 Most Popular Books About Satellites
  8. Today's 10 Most Popular Books About Earth Observation

The Unseen Infrastructure

Satellites are the unseen infrastructure of the 21st century. Far from being simple objects in orbit, they are complex systems of systems, serving as indispensable nodes in the global information and economic network. They are remote relay stations in space, amplifying and redirecting signals that power television, telephone calls, internet access, and military communications. They are our eyes on the planet, providing the data that helps meteorologists predict weather, farmers manage crops, and first responders react to natural disasters. They are our universal compasses, enabling the global positioning systems that guide everything from commercial airliners to ride-sharing apps. And they are our remote laboratories, taking pictures of distant galaxies and measuring the fundamental forces of the universe.

A modern satellite is not a single piece of technology but a convergence of multiple advanced fields, from materials science and power generation to robotics and artificial intelligence. Each of its components represents a frontier of engineering, and each is ripe with opportunities for innovation. Understanding the anatomy of a satellite – what its parts are, how they work together, and where they are evolving – is to understand the trajectory of our increasingly connected and data-driven world.

A World Above: Understanding Satellite Orbits

Before dissecting the satellite itself, it’s important to understand the environment in which it operates. Satellites don’t just float randomly in space; they travel along specific orbital “highways,” each with distinct characteristics that define the satellite’s purpose and capabilities. The choice of orbit is a fundamental design decision that influences everything from signal delay to the number of satellites needed to provide a service. There are three primary orbital classifications.

Low Earth Orbit (LEO) satellites circle the planet at altitudes ranging from 160 to 2,000 kilometers. Their proximity to Earth means that signals travel a relatively short distance, resulting in very low latency, or delay, often between 20 and 50 milliseconds. This is comparable to land-based fiber optic networks. their low altitude also means they have a small field of view and move across the sky very quickly, completing an orbit in as little as 90 minutes. To provide continuous coverage over a specific area, a large number of LEO satellites must work together in a coordinated group, known as a constellation. This is the orbit of choice for Earth observation missions that need high-resolution imagery and for the new mega-constellations providing global broadband internet, where low latency is essential for real-time applications like video calls and online gaming.

Medium Earth Orbit (MEO) satellites operate at altitudes between LEO and the highest orbits, typically from 2,000 to just under 36,000 kilometers. This “middle ground” offers a balance between coverage and latency. A single MEO satellite can see a much larger portion of the Earth than a LEO satellite, so fewer are needed for global coverage. Their latency is higher than LEO but still significantly lower than the highest orbits. This makes MEO the ideal location for navigation constellations like the Global Positioning System (GPS), where a network of about two dozen satellites can provide precise location and timing data to the entire planet. A unique challenge for MEO satellites is that their orbits often pass through the Van Allen radiation belts, zones of charged particles that can damage sensitive electronics, requiring special shielding.

Geostationary Earth Orbit (GEO) is a very specific and valuable location. Satellites in this orbit are positioned at an altitude of exactly 35,786 kilometers directly above the equator. At this precise altitude, a satellite’s orbital period matches the Earth’s 24-hour rotation. As a result, a GEO satellite appears to remain fixed in the same spot in the sky from the perspective of an observer on the ground. This has a huge advantage: ground-based antennas can be aimed at the satellite once and don’t need to move to track it. A single GEO satellite can provide coverage to about a third of the Earth’s surface, so just three are needed for near-global coverage. This makes GEO ideal for broadcasting services like satellite television and for weather monitoring. The major trade-off is latency; the immense distance results in a signal delay of 500 to 700 milliseconds, which is noticeable in two-way communications like phone calls and makes it unsuitable for many real-time internet applications.

The choice of orbit is no longer just a technical calculation; it has become a central pillar of business strategy in the space industry. The recent explosion of LEO mega-constellations is a direct result of this strategic shift. Companies building these networks have made a calculated decision to embrace the immense complexity of manufacturing, launching, and managing thousands of interconnected satellites. They accept this challenge because the low latency offered by LEO is the only way to compete directly with terrestrial fiber optic internet for a global customer base. This business-driven decision to prioritize low latency has a cascading effect on every other aspect of satellite design. It necessitates mass-producible satellites, cheaper launch services, highly efficient electric propulsion systems to counteract atmospheric drag in LEO, and a revolutionary, automated approach to ground control. The entire modern satellite ecosystem is being reshaped not just by what is technologically possible, but by what the market demands.

Orbit Type Altitude (km) Orbital Period Signal Latency (milliseconds) Key Advantages Common Applications
Low Earth Orbit (LEO) 160 – 2,000 90 – 120 minutes 20 – 50 Low latency, high-resolution imaging Global internet constellations (e.g., Starlink), Earth observation, scientific research
Medium Earth Orbit (MEO) 2,000 – 35,786 2 – 24 hours 100 – 150 Wide coverage, moderate latency Navigation systems (e.g., GPS, Galileo), some communications
Geostationary Earth Orbit (GEO) 35,786 24 hours 500 – 700 Constant coverage from a fixed point, wide reach Television broadcasting, weather monitoring, traditional communications

The Two Halves of a Whole: Introducing the Payload and the Bus

Every satellite, regardless of its size, orbit, or mission, can be understood as having two fundamental parts: the payload and the satellite bus. This division provides a clear framework for deconstructing its complexity.

The payload is the reason the satellite exists. It’s the collection of instruments, sensors, antennas, and electronics that perform the satellite’s specific mission. Think of a commercial truck: the payload is the specialized equipment it carries, whether that’s a refrigerated container for food, a tanker for liquids, or a flatbed for construction materials. The payload defines the truck’s purpose. Similarly, a satellite’s payload could be a set of transponders for communication, a high-resolution camera for Earth observation, or a telescope for astronomy.

The satellite bus, also known as the spacecraft platform, is everything else. It’s the common infrastructure that supports the payload and allows the satellite to function and survive in space. Continuing the truck analogy, the bus is the chassis, engine, wheels, steering, fuel tanks, and driver’s cab – the essential components that make the truck move, provide power, and allow it to be controlled. The satellite bus contains all the core subsystems that provide structural support, electrical power, thermal control, attitude control, propulsion, and data handling. While the payload is unique to the mission, the bus provides the common, essential services that every mission needs.

This report will first explore the different types of payloads that define a satellite’s mission and the innovations shaping their future. It will then dissect the satellite bus, examining each of its critical subsystems and the technological advancements that are making them lighter, more efficient, and more intelligent.

Part I: The Payload – The Purpose of the Mission

The payload is the heart of any satellite mission. It is the equipment that generates revenue, collects scientific data, or provides a strategic capability. While payloads are incredibly diverse, they generally fall into a few key categories, each with its own set of functions and a unique landscape of innovation. A unifying theme across all payload types is a fundamental architectural shift: the migration of intelligence and processing power from the ground up to the satellite itself. Satellites are evolving from simple “dumb” relays that just collect and forward data into smart, autonomous nodes capable of analysis and decision-making in orbit. This shift is driven by the need to overcome data downlink bottlenecks and to enable faster, more responsive services. The future value of a satellite will be defined as much by the sophistication of its onboard software and algorithms as by the quality of its hardware.

Communications Payloads: The Global Relay

Communications satellites are the oldest and most commercially significant application of space technology. They act as relay stations in the sky, receiving signals from one point on Earth and retransmitting them to another, thereby overcoming the line-of-sight limitations imposed by the Earth’s curvature.

Function: How Transponders Connect the World

The central component of a communications payload is the transponder. A satellite can carry dozens of these devices, each acting as a distinct communication channel. A transponder’s job is a four-step process: it receives a faint radio signal from a ground station (the uplink), uses a low-noise amplifier to boost the signal’s strength, shifts the signal to a different frequency to prevent interference with the incoming signal, and then uses a high-power amplifier to transmit the signal back down to receivers on Earth (the downlink).

Most transponders operate on a simple “bent-pipe” model. They act like a bent pipe or a mirror in the sky, transparently relaying whatever signal they receive without altering its content. This is a robust and reliable method used for everything from television broadcasting to providing internet backhaul for remote communities.

A more advanced type is the “regenerative” transponder. Instead of just amplifying and retransmitting the signal, a regenerative transponder demodulates it, decodes it into digital data, corrects any errors, and then re-encodes and modulates it onto a new, clean carrier signal for the downlink. This onboard processing significantly improves the signal quality and allows for more efficient use of the satellite’s power and bandwidth. It effectively turns the satellite from a simple repeater into an active routing node in the network.

Innovation Opportunities: Software-Defined Payloads, AI, and Quantum Communication

The communications payload is undergoing a period of intense innovation, driven by the demand for more data, more flexibility, and more security. The most significant shift is from static, hardware-based payloads to dynamic, software-defined systems.

Software-Defined Payloads: Traditionally, a satellite’s capabilities – its coverage areas, frequencies, and power levels – were fixed by its hardware design before launch. A software-defined satellite replaces much of this fixed hardware with powerful onboard digital processors, like Field-Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs). This allows the satellite’s functions to be changed in orbit via a software update. An operator can redirect a satellite’s coverage from one region to another to respond to a sudden surge in demand, such as for a major news event or a disaster relief effort. They can change the allocation of bandwidth and power between different beams, or even change the shape and size of the beams themselves. This transforms the satellite from a fixed, depreciating asset into a flexible, reconfigurable one that can adapt to changing market conditions throughout its 15-year lifespan. This “payload-as-a-service” model offers unprecedented flexibility and efficiency.

Artificial Intelligence and Machine Learning: The complexity of managing a modern, flexible satellite with hundreds of steerable beams and dynamic resource allocation is beyond the scope of manual control. This is where Artificial Intelligence (AI) becomes essential. Machine learning algorithms can be used to autonomously manage the satellite’s resources, optimizing power and bandwidth allocation in real-time to meet fluctuating demand across different user groups. AI can predict traffic patterns, detect and mitigate interference, and even predict potential component failures, allowing for proactive maintenance. For large LEO constellations, AI is the only viable way to manage the complex routing of data across thousands of inter-communicating satellites, ensuring that data packets find the most efficient path from user to destination.

Quantum Communication: Looking further ahead, a new frontier for communications payloads is quantum communication. Traditional encryption methods are vulnerable to being broken by powerful computers. Quantum communication systems, which use the principles of quantum mechanics to transmit data, offer a solution. They enable a technique called Quantum Key Distribution (QKD), which allows for the creation of a provably secure encryption key between two points. Any attempt to eavesdrop on the key exchange would disturb the quantum state of the particles, immediately revealing the presence of an intruder. Integrating QKD payloads onto satellites would allow for the creation of ultra-secure global communication networks, a capability of immense interest for government, military, and financial institutions.

Earth Observation Payloads: The Watchful Eye

Earth Observation (EO) satellites are our planetary monitoring system. Their payloads are designed to systematically collect imagery and data about the Earth’s land, oceans, and atmosphere. This information underpins a vast range of applications, from daily weather forecasts and long-term climate change monitoring to precision agriculture, urban planning, disaster management, and national security surveillance.

Function: Seeing the Unseen with Active and Passive Sensors

EO payloads use two fundamentally different types of sensors to gather information.

Passive sensors operate much like a digital camera, detecting natural energy that is reflected or emitted from the Earth’s surface. The most common source of this energy is sunlight. A passive sensor can capture images in different parts of the electromagnetic spectrum. A panchromatic sensor captures a wide range of visible light to produce a high-resolution black-and-white image. A multispectral sensor captures light in several specific, narrow bands (e.g., blue, green, red, and near-infrared). By combining these bands, analysts can create true-color images or “false-color” images that highlight specific features, such as the health of vegetation or the presence of water. Because they rely on reflected sunlight, most passive optical sensors can’t see through clouds or take images at night.

Active sensors, on the other hand, provide their own source of energy. They send out a pulse of energy (like a flash on a camera) and then measure the signal that is reflected back. This allows them to operate day and night and, depending on the wavelength used, to see through clouds, smoke, and rain. The most common active sensor is Synthetic Aperture Radar (SAR). A SAR instrument transmits microwave pulses towards the ground and uses the returning echoes to create detailed images. SAR is particularly useful for monitoring surface deformation (like subsidence or landslides), tracking ships at sea, and mapping flood inundation. Another active sensor is LiDAR (Light Detection and Ranging), which uses laser pulses to measure distances and create highly accurate 3D maps of the Earth’s surface, including forest canopy height and the topography of ice sheets.

Innovation Opportunities: Hyperspectral Imaging, Advanced Sensors, and Onboard AI Processing

Innovation in Earth observation is driven by the desire to see the world in greater detail, with more frequency, and with more intelligence.

Hyperspectral Imaging: The next step beyond multispectral imaging is hyperspectral imaging. While a multispectral sensor might capture data in 5 to 10 specific bands, a hyperspectral sensor captures data in hundreds of contiguous, very narrow bands. This provides a detailed spectral “fingerprint” for every pixel in the image. This level of detail allows analysts to not just see that there is a forest, but to identify specific tree species, detect crop diseases before they are visible to the naked eye, or identify specific minerals on the ground. This technology is moving from airborne platforms to space, promising a revolution in detailed environmental monitoring.

Advanced Sensor Miniaturization: A major trend is the miniaturization of powerful sensors. As cameras, spectrometers, and radar systems become smaller, lighter, and less power-hungry, they can be deployed on smaller and cheaper satellites, such as CubeSats. This has led to the rise of large constellations of small EO satellites, which can image the entire Earth every single day. This high revisit rate is a game-changer for applications that need to monitor rapid changes, such as tracking deforestation or responding to disasters.

Onboard AI and Edge Computing: Perhaps the most significant innovation in EO is the shift of data processing from the ground to the satellite itself. Modern EO satellites can generate terabytes of data every day, far more than can be downlinked to ground stations. Much of this data may be of little value, for instance, images completely obscured by clouds. Onboard AI and edge computing addresses this bottleneck. Instead of sending all the raw data down, powerful onboard processors use machine learning algorithms to analyze the imagery as it’s collected. The satellite can automatically detect and discard cloudy images, saving valuable downlink bandwidth. More advanced systems can be trained to identify specific events of interest – such as wildfires, oil spills, or even specific types of ships or vehicles – and send down an alert or a small, compressed image of the event in near-real-time. This reduces the time from observation to actionable insight from hours or days to mere minutes, a capability that is invaluable for emergency response and time-sensitive intelligence gathering.

Navigation Payloads: The Universal Clock and Compass

Navigation satellites provide the global utility that many people interact with daily: Positioning, Navigation, and Timing (PNT) services. The most well-known of these systems is the American Global Positioning System (GPS), but it is joined by other global systems like Europe’s Galileo, Russia’s GLONASS, and China’s BeiDou.

Function: The Architecture of Precision, Positioning, and Timing

The payload of a navigation satellite is deceptively simple in concept but requires incredible technological precision. The core components are a set of ultra-stable atomic clocks and a powerful signal transmitter.

The atomic clocks are the heart of the system. They are precise to within a few nanoseconds (billionths of a second). Each satellite continuously broadcasts a signal that contains two key pieces of information: the exact time the signal was sent (according to its atomic clock) and the satellite’s precise orbital position at that moment.

A GPS receiver on the ground picks up these signals from multiple satellites. Because radio waves travel at the constant speed of light, the receiver can calculate its distance from each satellite by measuring the tiny time difference between when the signal was sent and when it was received. By receiving signals from at least four different satellites, the receiver can use a geometric principle called trilateration to pinpoint its exact location in three dimensions (latitude, longitude, and altitude) and synchronize its own less-accurate clock to the universal time of the GPS system. This timing function is just as important as the positioning function; it is used to synchronize cellular networks, banking transactions, and power grids around the world.

Innovation Opportunities: Enhanced Signal Security, Next-Generation Atomic Clocks, and Interoperability

Innovation in PNT payloads is focused on improving accuracy, ensuring reliability even in challenging environments, and protecting the signals from interference or malicious attacks.

Enhanced Signal Security and Robustness: The original GPS signal was relatively weak and unencrypted, making it susceptible to both unintentional interference and intentional jamming or spoofing (transmitting false signals). Modernization efforts have focused on adding new, more powerful signals. This includes encrypted military signals, like the M-code, which are highly resistant to jamming and spoofing. It also includes new, more complex and robust civilian signals broadcast on different frequencies (known as L2C, L5, and L1C). A receiver that can use multiple frequencies can correct for errors caused by the signal passing through the Earth’s atmosphere, significantly improving accuracy.

Next-Generation Atomic Clocks: The accuracy of any PNT system is fundamentally limited by the stability of its atomic clocks. Continuous research is underway to develop smaller, lighter, more stable, and longer-lasting space-based atomic clocks. Even small improvements in clock stability can translate into significant improvements in positioning accuracy on the ground.

Interoperability: A major area of innovation is in global cooperation and interoperability. The new civilian L1C signal for GPS was designed in coordination with Europe’s Galileo system to be broadcast on the same frequency. This means that a future receiver will be able to use satellites from both constellations seamlessly. When a user has access to more satellites in the sky, their receiver can get a faster and more reliable position fix, especially in environments where the view of the sky is partially obstructed, like in urban canyons between tall buildings. This move toward a “system of systems” approach, where different global navigation satellite systems (GNSS) can work together, is a key enabler for the next generation of high-integrity applications like autonomous vehicles.

Scientific and Exploration Payloads: The Tools of Discovery

While many satellites have commercial or military applications, a significant number are dedicated purely to scientific research and exploration. These missions carry payloads designed to answer fundamental questions about our planet, our solar system, and the universe beyond.

Function: Instruments for Observing the Earth and the Cosmos

The range of scientific payloads is vast, reflecting the breadth of scientific inquiry. They can be broadly divided into those that look down at the Earth and those that look out into space.

Earth science missions carry specialized instruments to study specific aspects of the Earth system with high precision. For example, a satellite might carry a microwave radiometer to measure the salinity (saltiness) of the ocean surface, providing data on ocean circulation and the global water cycle. Another might carry a spectrometer designed to measure the concentration of greenhouse gases like carbon dioxide and methane in the atmosphere.

Astrophysics and planetary science missions carry instruments to observe the cosmos. The most famous of these are space telescopes like the Hubble Space Telescope and the James Webb Space Telescope, which carry large mirrors and sensitive cameras and spectrographs to capture images and analyze the light from distant stars and galaxies. Other missions carry different types of instruments, such as X-ray detectors to study black holes, particle detectors to measure cosmic rays, or magnetometers to map the magnetic fields of other planets. Probes sent to explore other planets and moons carry a suite of instruments, including cameras, spectrometers, and radar, to study their geology and atmosphere.

Innovation Opportunities: Miniaturization, Increased Sensitivity, and Autonomous Science

Innovation in scientific payloads is driven by the quest to observe the universe with ever-greater precision and to make space-based research more accessible.

Miniaturization and CubeSats: One of the most significant trends is the miniaturization of scientific instruments. As sensors and electronics become smaller, they can be packaged into small, standardized satellites called CubeSats. These satellites are much cheaper to build and launch than traditional missions, which has democratized access to space. University research groups and smaller institutions can now afford to build and fly their own space science missions, leading to a proliferation of new and innovative experiments.

Increased Sensitivity: At the other end of the scale, for flagship missions like the James Webb Space Telescope, the focus of innovation is on pushing the limits of sensor sensitivity. This involves developing larger, more perfect mirrors; more efficient detectors that can count individual photons of light; and advanced cooling systems to reduce the thermal “noise” that can obscure faint signals. These advancements allow scientists to see farther back in time and to study celestial objects in unprecedented detail.

Autonomous Science: A key innovation, especially for missions that observe dynamic or unpredictable phenomena, is autonomous science. For missions surveying the sky for transient events like supernovae or asteroids, there isn’t time to send the data back to Earth, have scientists analyze it, and then send commands back up to the satellite to make a follow-up observation. The event would be over. Instead, onboard AI algorithms can be trained to analyze the data in real-time, identify a scientifically interesting event, and then autonomously retask the satellite to perform more detailed observations or alert other telescopes on the ground and in space. This allows the satellite to act as an intelligent, robotic scientist, maximizing the scientific return from fleeting cosmic opportunities.

Part II: The Satellite Bus – The Life Support System

If the payload is the purpose of the mission, the satellite bus is the workhorse that makes the mission possible. It is the standardized platform that provides all the essential “housekeeping” functions required for the satellite to operate and survive in the harsh environment of space. The bus is a highly integrated system of subsystems, each with a specific role. Innovation within the bus is often driven by the need to be lighter, more efficient, and more reliable. A key insight into bus innovation is the deeply interconnected nature of its subsystems. An advance in one area, such as power generation, often creates new demands or enables new possibilities in another, like propulsion or thermal control. This creates a cascading effect where the entire platform evolves as a cohesive system, not just as a collection of independent parts.

Structural Subsystem: The Skeleton

The structural subsystem is the physical backbone of the satellite. It provides the mechanical framework that holds everything together, from the delicate payload instruments to the solar panels and fuel tanks.

Function: Providing Form and Resilience

The primary function of the structure is to provide support and rigidity for all the satellite’s components. It must be designed to withstand the incredible stresses of a rocket launch, including intense vibrations, acoustic noise, and acceleration forces that can be many times the force of Earth’s gravity. Once in orbit, it must maintain its shape with extreme precision to ensure that antennas, sensors, and solar panels remain perfectly aligned. All of this must be accomplished while being as lightweight as possible, because every kilogram launched into orbit is incredibly expensive. The structure is a careful balancing act between strength, stiffness, and mass.

Innovation Opportunities: Advanced Composites, New Alloys, and Additive Manufacturing (3D Printing)

The relentless drive to reduce launch costs means that the primary innovation in satellite structures is the quest for lighter and stronger materials.

Advanced Materials: Traditional spacecraft structures were often built from aluminum alloys, which offer a good balance of strength and low density. Today, there is a strong trend towards using advanced composite materials, particularly carbon fiber reinforced polymers (CFRP). These materials can be five times stronger than steel at just a fraction of the weight. They also have excellent thermal stability, meaning they don’t expand or contract much with the extreme temperature swings in space, which is vital for maintaining the alignment of sensitive optical instruments. Specialized metal alloys also play a key role. Titanium alloys are used for high-strength components that must bear significant loads, while alloys of aluminum with elements like magnesium or vanadium are being developed for their unique combination of low density, radiation resistance, and thermal properties.

Additive Manufacturing (3D Printing): The most significant innovation in structural design and manufacturing is the adoption of additive manufacturing, more commonly known as 3D printing. Traditional manufacturing is subtractive – you start with a block of metal and cut away material to create a part. 3D printing is additive – it builds a part layer by layer from a digital design. This allows engineers to create highly complex and optimized shapes that are impossible to make with traditional methods. For example, they can design brackets and support structures with intricate internal lattice patterns, removing every gram of unnecessary material while maintaining structural integrity. This can lead to weight reductions of 40% or more for some components. 3D printing also dramatically reduces production time and cost, as it eliminates the need for expensive tooling and complex machining processes. It allows for rapid prototyping and enables a more agile and responsive manufacturing process.

Electrical Power Subsystem (EPS): The Heartbeat

The Electrical Power Subsystem, or EPS, is the satellite’s power plant and distribution grid. It is the lifeline that generates, stores, and delivers the electricity that all other onboard systems need to function. For most satellites, the EPS is a life-limiting component; the mission ends when the power system can no longer meet the demands of the spacecraft.

Function: Generating, Storing, and Distributing Power

The EPS has three primary tasks. First, it must generate power. The vast majority of satellites do this using photovoltaic cells, or solar cells, which convert sunlight directly into electricity. These cells are mounted on solar panels, which are often deployed as large “wings” once the satellite reaches orbit to maximize their exposure to the sun.

Second, the EPS must store energy. A satellite in Earth orbit will spend a portion of each orbit in the planet’s shadow, an eclipse period where its solar panels generate no power. To keep operating during these periods, the satellite relies on rechargeable batteries. The batteries are charged by the solar panels during the sunlit portion of the orbit and then discharge to power the satellite during the eclipse.

Third, the EPS must manage and distribute the power. A component called the Power Management and Distribution Unit (PMAD) acts as the satellite’s smart electrical panel. It regulates the voltages from the solar arrays and batteries, distributes the correct amount of power to each subsystem, and protects the sensitive electronics from power surges or faults. It also monitors the health of the power system, keeping track of battery charge levels and power consumption.

Innovation Opportunities: Next-Generation Solar Cells and Advanced Battery Technologies

Innovation in the EPS is focused on two main goals: increasing the amount of power generated per unit of mass and volume, and storing that power more efficiently and safely.

Next-Generation Solar Cells: For decades, the space industry has relied on highly efficient but expensive solar cells made from materials like Gallium Arsenide (GaAs). The key trend is the move to multi-junction solar cells. These cells stack several different semiconductor layers, with each layer optimized to convert a different part of the solar spectrum into electricity. This allows them to achieve efficiencies of over 30%, far higher than typical terrestrial solar cells. The next frontier of innovation includes the development of thin-film solar cells and flexible solar blankets, which could dramatically reduce the mass and stowed volume of solar arrays. Researchers are also exploring novel materials like perovskites, which promise even higher efficiencies and lower manufacturing costs, though their long-term stability in the space environment is still an area of active research.

Advanced Battery Technologies: The standard for rechargeable batteries in space has been Lithium-Ion (Li-ion), prized for its high energy density. Li-ion batteries with liquid electrolytes carry a risk of combustion and their performance degrades over time. The next generation of energy storage is focused on solid-state batteries. These batteries replace the liquid electrolyte with a solid material, which makes them inherently safer, less prone to degradation, and potentially able to store even more energy per kilogram. An even more forward-looking concept is the structural battery. Here, composite materials like carbon fiber are designed to serve both as part of the satellite’s physical structure and as an energy storage device. This multifunctional approach could lead to significant savings in both mass and volume by eliminating the need for separate, dedicated battery packs.

Thermal Control Subsystem (TCS): Maintaining Equilibrium

Space is an environment of extreme temperatures. A satellite in direct sunlight can be heated to well over 100°C, while the same satellite passing into Earth’s shadow can plummet to below -150°C. The Thermal Control Subsystem (TCS) is the satellite’s climate control system, responsible for maintaining all of the spacecraft’s components within their specific allowable temperature ranges to prevent them from getting too hot or too cold.

Function: Managing the Extremes of Space

The TCS manages heat flow using a combination of passive and active techniques.

Passive thermal control methods work without consuming any power. They rely on the clever use of materials and geometry. The most common passive component is Multi-Layer Insulation (MLI), the shiny gold or silver blanketing seen on many spacecraft. MLI consists of many thin, reflective layers separated by a vacuum, which is extremely effective at blocking heat transfer by radiation. Other passive techniques include applying special surface coatings or paints that have specific thermal properties (high reflectivity to keep cool, or high absorptivity to warm up) and radiators, which are large, flat surfaces designed to efficiently radiate waste heat from electronics out into cold space.

Active thermal control methods use power and mechanical devices to move heat around. Heaters are used to keep components like batteries and propellant lines from freezing during cold periods. Louvers are like venetian blinds placed over a radiator; they can be opened to allow heat to escape or closed to conserve it. Heat pipes are one of the most effective active components. They are sealed tubes containing a fluid that evaporates at the hot end (e.g., next to a powerful processor), travels as a vapor to the cold end (at the radiator), condenses back into a liquid, and then flows back to the hot end via a wick structure. This two-phase process can transfer large amounts of heat very efficiently with no moving parts.

Innovation Opportunities: Advanced Materials, Miniaturized Components, and Predictive Modeling

Innovation in thermal control is driven by the need to manage ever-increasing heat loads from more powerful electronics and payloads, especially on smaller satellites with less surface area for radiators.

Advanced Materials: New materials are being developed with superior thermal properties. For example, thin films of graphene or sheets of pyrolytic graphite have extremely high in-plane thermal conductivity, making them excellent “heat spreaders” to move heat from a concentrated hot spot to a larger radiator area. Advanced aerogels, which are incredibly lightweight solids composed mostly of air, are being developed as a highly effective form of insulation. There is also research into “smart” radiator surfaces using materials like vanadium dioxide, which can automatically change their emissivity (their ability to radiate heat) based on their temperature, acting as a passive thermal switch.

Miniaturized Components: For small satellites like CubeSats, traditional thermal control hardware is often too large and heavy. This is driving innovation in miniaturized components, such as micro heat pipes embedded directly into printed circuit boards and tiny, lightweight mechanical louvers that can provide active thermal control for a satellite the size of a loaf of bread.

Predictive Modeling: A significant area of innovation is in the software used to design and analyze thermal systems. Modern thermal modeling tools allow engineers to create highly detailed digital twins of the satellite and simulate its thermal performance throughout its entire mission. An emerging technique called Reduced Order Modeling (ROM) uses statistical methods to dramatically speed up these complex simulations. Instead of taking days or weeks to run a full analysis, ROM can predict the thermal behavior in minutes, allowing engineers to rapidly explore thousands of different design options to find the most optimal and robust solution.

Attitude Determination and Control Subsystem (ADCS): The Sense of Balance

A satellite is not a passive object; it must be able to control its orientation, or “attitude,” with great precision. The Attitude Determination and Control Subsystem (ADCS) is responsible for this. It must point the satellite’s solar panels towards the sun for power, its antennas towards the Earth for communication, and its payload sensors towards their scientific or observational targets.

Function: Pointing the Way with Sensors and Actuators

The ADCS operates in a continuous closed loop with two main functions: determination and control.

Attitude Determination is the process of figuring out the satellite’s current orientation. This is done using a suite of sensors that act as the satellite’s eyes and inner ear.

  • Sun Sensors are simple devices that detect the direction of the sun, providing a basic but reliable reference point.
  • Magnetometers measure the direction and strength of the Earth’s magnetic field, which can be used to determine attitude in LEO.
  • Star Trackers are the most accurate attitude sensors. They are essentially small digital cameras that take pictures of the starfield, compare the image to an onboard star catalog, and calculate the satellite’s orientation with extremely high precision.
  • Inertial Measurement Units (IMUs), which contain gyroscopes and accelerometers, measure the satellite’s rate of rotation, allowing the system to track its attitude between measurements from other sensors.

Attitude Control is the process of physically changing the satellite’s orientation. This is done using actuatorsthat apply a torque (a rotational force) to the satellite’s body.

  • Reaction Wheels are the most common actuators. They are heavy flywheels that are spun up by an electric motor. Due to the conservation of angular momentum, as the wheel spins in one direction, the satellite’s body will rotate in the opposite direction. By using three wheels mounted on different axes, the satellite can be precisely pointed in any direction.
  • Control Moment Gyroscopes (CMGs) are more powerful actuators used on larger satellites. A CMG consists of a constantly spinning flywheel mounted on a motorized gimbal. By tilting the gimbal, the direction of the flywheel’s angular momentum is changed, which produces a very large gyroscopic torque on the satellite. This allows for much faster and more agile maneuvering than with reaction wheels.
  • Magnetorquers are coils of wire that generate a magnetic field. This field interacts with the Earth’s magnetic field to produce a gentle torque. They are often used in LEO to “dump momentum” from reaction wheels, which can become saturated (spin too fast) over time.
  • Thrusters, small rocket engines, can also be used to apply torques for attitude control, especially for large, rapid maneuvers.

Innovation Opportunities: AI-Driven Control, Miniaturized Sensors, and Advanced Actuators

The demand for more agile satellites that can rapidly slew from one target to another is driving innovation in ADCS technology.

AI-Driven Control and Sensor Fusion: Modern ADCS systems are becoming more intelligent. AI and machine learning algorithms are being used to improve the accuracy of attitude determination by fusing data from multiple different sensors (e.g., combining star tracker data with IMU data) using sophisticated techniques like Kalman filters. AI can also be used to predict and compensate for disturbances, such as atmospheric drag or solar radiation pressure. An innovative concept is the creation of hybrid systems, where components are used for dual purposes. For example, a system can use its magnetic torque rods for attitude control part of the time, and then switch their electronics to function as a sensitive scientific magnetometer the rest of the time, saving mass and volume.

Miniaturization: As with other subsystems, miniaturization is a key trend. The development of tiny, low-power, and highly accurate MEMS (Micro-Electro-Mechanical Systems) gyroscopes, as well as compact star trackers and sun sensors, has been essential for enabling high-performance pointing on small satellites and CubeSats.

Advanced Actuators: For larger satellites, especially those used for agile Earth observation or surveillance, there is a strong push towards more powerful actuators. Control Moment Gyroscopes (CMGs) are a key technology here. They can generate torques that are orders of magnitude larger than reaction wheels of a similar mass, allowing a large satellite to re-point from one target to another in seconds rather than minutes. Innovation in CMG design is focused on making them more reliable and mitigating issues like singularities (orientations where the gimbals can get stuck and lose their ability to produce torque in a certain direction).

Propulsion Subsystem: The Engine

While the massive rocket that launches a satellite gets most of the attention, nearly every satellite also carries its own onboard propulsion subsystem. These small engines are not for getting into orbit, but for all the maneuvering that happens once the satellite is in space.

Function: Getting and Staying in Position

The propulsion subsystem is used for several key functions. Orbit insertion involves firing the engine to provide the final push from the orbit where the launch vehicle left it to its final operational orbit. Station-keeping is the process of making small, periodic thruster firings to counteract disturbances like atmospheric drag (in LEO) or the gravitational pull of the sun and moon (in GEO) that would otherwise cause the satellite to drift out of its assigned orbit. Orbit maneuvering involves larger engine burns to change orbits, for example to move a satellite to a different location in a constellation. Thrusters are also used for attitude control, especially for large maneuvers or to desaturate reaction wheels, and finally for de-orbiting, where a final engine burn is used to lower the satellite’s orbit at the end of its life so that it will safely burn up in the Earth’s atmosphere.

There are two main classes of propulsion systems used on satellites. Chemical propulsion systems work by combusting a propellant to create a hot, high-pressure gas that is expelled through a nozzle to produce thrust. They provide high thrust, meaning they can change the satellite’s velocity quickly, but they are relatively inefficient and require a large mass of propellant. Electric propulsion systems use electrical power to accelerate a small amount of propellant to extremely high speeds. They produce very low thrust – often compared to the force of a piece of paper resting on your hand – but they are incredibly fuel-efficient.

Innovation Opportunities: The Rise of Electric Propulsion and Green Propellants

The satellite propulsion landscape is being reshaped by two major trends that are driven by the needs of modern constellations and a growing emphasis on safety and sustainability.

The Rise of Electric Propulsion (EP): The most significant trend is the widespread adoption of electric propulsion. Because EP systems are so fuel-efficient (they have a very high specific impulse), a satellite can achieve the same change in velocity with a fraction of the propellant mass compared to a chemical system. This mass saving is a huge advantage, as it can be used to either reduce the launch cost or to carry a larger, more capable payload. While their low thrust means that orbit-raising maneuvers can take months instead of days, this is an acceptable trade-off for many missions. EP is essential for LEO mega-constellations, where the small but constant atmospheric drag requires continuous, efficient thrusting for station-keeping. The workhorse of modern EP is the Hall-effect thruster. Innovation in this area is focused on increasing their power levels and lifetime, and on using cheaper and more abundant propellants like argon or krypton instead of the traditional and very expensive xenon gas.

Green Propellants: Traditional chemical propulsion systems often use highly toxic and carcinogenic propellants like hydrazine. This makes handling and fueling operations on the ground dangerous, complex, and expensive, requiring specialized facilities and personnel in protective suits. There is a major industry push to develop and adopt “green” propellants. These are new chemical propellants that offer similar or better performance than hydrazine but are much less toxic. This simplifies ground operations, reduces costs, and makes the entire process safer for personnel and the environment.

Propulsion Type Key Technology Thrust Level Specific Impulse (Efficiency) Propellant Mass Typical Use Cases
Chemical Propulsion Monopropellant/Bipropellant Thrusters High Low (~300 s) High Rapid orbit insertion, large/fast maneuvers, launch vehicle main engines
Electric Propulsion Hall-Effect Thrusters, Ion Thrusters Very Low Very High (1,000 – 8,000+ s) Low LEO station-keeping (drag makeup), slow orbit raising, deep space missions

Command and Data Handling (C&DH): The Brain

The Command and Data Handling (C&DH) subsystem is the central nervous system of the satellite. It is built around the main onboard computer and is responsible for processing commands, managing the flow of data, and orchestrating the operations of all the other subsystems.

Function: Processing Commands and Managing Data

The C&DH has several core responsibilities. It receives commands sent from the mission control center on the ground, validates them, and distributes them to the appropriate subsystem for execution. These can be real-time commands that are executed immediately, or stored, time-tagged commands that are executed at a specific future time.

The C&DH also acts as the central data hub for the entire spacecraft. It collects housekeeping data – status information like temperatures, voltages, and power levels – from all the bus subsystems and the payload. This data is used to monitor the health and safety of the satellite. It also collects and formats the mission data from the payload. All of this data is stored in onboard memory, often in a mass storage device like a solid-state recorder. When the satellite is in contact with a ground station, the C&DH manages the downlink of this stored data. Finally, the C&DH runs the flight software that controls the satellite’s autonomous functions, such as automatically entering a “safe mode” if a critical fault is detected.

Innovation Opportunities: Edge Computing in Space and Advanced Processors

The innovation in C&DH subsystems is a direct reflection of the broader trend of increasing satellite autonomy and onboard intelligence.

Edge Computing in Space: The traditional model of satellite operations involved collecting vast amounts of raw data and downlinking it all to the ground for processing and analysis. As sensor capabilities have grown, this model has become unsustainable due to limitations in downlink bandwidth. The solution is to move the processing from the ground to the satellite – a concept known as edge computing. By equipping the C&DH with powerful onboard processors, the satellite can analyze its own data in orbit. As discussed with payloads, this allows an EO satellite to perform image classification or change detection onboard, or a communications satellite to perform complex signal processing and routing. This reduces the data downlink burden, enables faster decision-making, and allows the satellite to function more autonomously.

Advanced Processors: Enabling edge computing requires a new generation of space-qualified, high-performance processors. Traditional satellite processors were designed for extreme reliability and low power consumption, not high computational throughput. The innovation challenge is to adapt modern, powerful processors like FPGAs and GPUs, which are ideal for running AI and machine learning algorithms, for the space environment. This involves making them radiation-hardened – able to withstand the constant bombardment of high-energy particles in space that can corrupt data and damage electronics. Developing processors that combine high performance with the reliability needed for a mission that cannot be repaired is a major area of focus for the industry.

Part III: The Ground Segment – The Connection to Earth

A satellite in orbit is only one part of a much larger system. It is completely reliant on its connection to Earth to receive commands, send back its valuable data, and allow operators to monitor its health. This entire Earth-based infrastructure is known as the ground segment. For decades, the ground segment was a major barrier to entry in the space industry, requiring massive capital investment in dedicated antennas and control centers. Today, driven by the needs of large constellations and the power of cloud computing, the ground segment itself is undergoing a revolution that is democratizing access to space.

The Earthly Link: Ground Stations and Mission Control

The ground segment has two main components: the physical infrastructure that communicates with the satellite, and the operational center that manages the mission.

Function: The Two-Way Conversation with Orbit

Ground stations are the physical link to the satellite. They are facilities equipped with large, steerable parabolic antennas that transmit radio frequency signals up to the satellite (the uplink) and receive signals from the satellite (the downlink). The uplink carries commands that tell the satellite what to do. The downlink carries two types of data: telemetry, which is the housekeeping data on the satellite’s health and status, and payload data, which is the mission-specific information the satellite has collected. Because LEO satellites move quickly across the sky, a global network of ground stations is needed to maintain frequent contact.

The Mission Control Center (MCC) is the nerve center of the operation. It is here that a team of flight controllers and engineers uses the telemetry data from the satellite to monitor its health, track its orbit, and respond to any anomalies. The MCC is also where mission planners schedule the satellite’s activities and where specialists process and analyze the payload data. The raw data received from the satellite (often called Level 0 data) goes through several stages of processing to be calibrated, corrected for distortions, and converted into scientifically useful, analysis-ready products that are then distributed to end-users.

Innovation Opportunities: Virtualization, Cloud Integration, and Autonomous Operations

The traditional ground segment model – where each satellite operator owns and operates its own dedicated ground stations and control centers – is being disrupted by new, more flexible and cost-effective approaches.

Virtualization and Cloud Integration: The most significant innovation is the move away from dedicated hardware to virtualized, cloud-based architectures. This has given rise to the concept of “Ground Segment-as-a-Service” (GSaaS). Companies now operate global networks of ground stations and offer access to them on a pay-per-use basis, much like a cloud computing service. A satellite operator no longer needs to build their own antennas; they can simply schedule time on an existing network through a web interface. The data is downlinked directly into a cloud platform (like Amazon Web Services or Microsoft Azure), where it can be stored, processed, and distributed using scalable cloud computing resources. This shifts the economic model for satellite operations from a high capital expenditure (CapEx) model to a more manageable operational expenditure (OpEx) model. This change has been a primary enabler of the “New Space” economy, as it dramatically lowers the barrier to entry for startups, universities, and smaller companies that can now afford to operate their own satellites without the massive upfront cost of building a global ground network.

Autonomous Operations: The sheer scale of modern LEO mega-constellations, which can consist of thousands of satellites, makes manual operation from a traditional mission control center impossible. There are simply not enough human operators to track every satellite, schedule every ground station pass, and analyze every piece of telemetry. The only viable solution is a high degree of automation, driven by Artificial Intelligence. Modern ground systems use sophisticated software to autonomously manage the entire constellation. The system can automatically schedule which satellite will contact which ground station and when, optimize the data downlink plan, process the incoming data, and monitor the health of the entire fleet. AI algorithms can analyze telemetry streams to detect subtle anomalies that might indicate an impending failure, allowing for predictive maintenance. This shift to autonomous, software-driven operations is essential for managing the complexity and scale of the next generation of satellite systems.

Part IV: The Future of the Satellite Ecosystem

The individual innovations occurring within each satellite component are converging to create a new space age, one defined by unprecedented scale, connectivity, and capability. this rapid expansion also brings significant challenges. The future of the satellite ecosystem will be shaped by the interplay between four major trends: the proliferation of mega-constellations, the urgent need for space sustainability, the rise of an in-orbit economy, and the pervasive integration of artificial intelligence. These trends are not independent; they are locked in a complex cycle of cause and effect, where the challenges created by one trend are often addressed by the opportunities presented by another.

The New Space Age: Trends Shaping the Future

The Rise of Mega-Constellations and the Challenge of a Crowded Sky

The defining feature of the modern space era is the deployment of mega-constellations. Companies like SpaceX’s Starlink and OneWeb are launching thousands of satellites into Low Earth Orbit with the goal of providing high-speed, low-latency internet to every corner of the globe. These networks promise to bridge the digital divide and connect underserved populations. this massive increase in the number of active satellites – from around 1,500 a decade ago to over 8,000 today, with plans for tens or even hundreds of thousands more – is fundamentally changing the orbital environment.

The sky is becoming crowded. This raises a number of concerns. For astronomers, the proliferation of bright, reflective satellites creates streaks across telescope images, interfering with scientific observations of the universe. The constant radio transmissions from these constellations can also interfere with sensitive radio astronomy. The most pressing concern for satellite operators themselves is the dramatically increased risk of in-orbit collisions. A collision between two satellites, or between a satellite and a piece of space debris, can be catastrophic, destroying the spacecraft and creating a cloud of thousands of new pieces of lethal, high-velocity debris.

A Sustainable Future: Debris Mitigation and Space Situational Awareness

The challenge of a crowded sky has made space sustainability an urgent priority. The long-term viability of space operations depends on our ability to manage the orbital environment responsibly. This has led to a focus on two key areas.

Debris Mitigation involves minimizing the creation of new space debris. International guidelines and national regulations are becoming stricter. For example, the long-standing “25-year rule,” which recommended that operators de-orbit their satellites within 25 years of the end of their mission, is being replaced by much shorter timelines, such as five years. The European Space Agency’s “Zero Debris approach” is a leading example of this push, setting stringent requirements for new missions to guarantee their successful disposal at the end of life. This involves designing satellites with enough propellant for a controlled de-orbit burn or with other technologies, like drag sails, to hasten their atmospheric reentry.

Space Situational Awareness (SSA) is the foundation of collision avoidance. It is the ability to track the location of all objects in orbit – active satellites, dead satellites, spent rocket stages, and small fragments of debris – and predict their future trajectories. With more accurate and timely SSA data, satellite operators can be warned of potential collisions and maneuver their spacecraft out of harm’s way. Improving SSA requires a global network of ground-based radar and optical telescopes, as well as space-based sensors, all feeding data into sophisticated processing systems that can manage the immense number of objects and provide actionable collision warnings.

The In-Orbit Economy: Servicing, Assembly, and Manufacturing

The vast number of high-value satellites being placed in orbit by mega-constellations is creating, for the first time, a viable business case for an in-orbit economy. This emerging field is known as On-Orbit Servicing, Assembly, and Manufacturing (OSAM).

On-Orbit Servicing (OOS) involves sending robotic “servicer” spacecraft to inspect, repair, refuel, or upgrade other satellites. A satellite that is otherwise perfectly healthy but has run out of fuel could have its life extended by several years with a robotic refueling mission. A satellite with a malfunction, like a solar panel that failed to deploy, could be repaired. OOS also offers a potential solution for the debris problem, with missions being designed for Active Debris Removal (ADR) to capture and de-orbit large, defunct objects.

On-Orbit Assembly and Manufacturing (OOAM) takes this concept a step further. Instead of launching a large, monolithic satellite, components could be launched separately and assembled in orbit by robots. This would allow for the creation of structures – like massive antennas or large space telescopes – that are too big to fit inside a single rocket fairing. In the more distant future, manufacturing could take place directly in space, using raw materials launched from Earth or even mined from asteroids or the Moon. While in-space manufacturing faces immense technical challenges related to microgravity, radiation, and resource processing, it holds the potential to completely transform how we build and operate in space.

The Autonomous Satellite: The Pervasive Role of Artificial Intelligence

Underpinning all of these trends is the pervasive integration of Artificial Intelligence. The sheer scale and complexity of the modern space ecosystem make a high degree of autonomy not just an advantage, but a necessity.

AI is the enabling technology that makes the other trends feasible. Managing a constellation of thousands of satellites, with constant inter-satellite communication and data routing, requires autonomous constellation management. Predicting and avoiding thousands of potential collisions every day across this crowded environment is impossible without AI-driven SSA and collision avoidance systems. Performing the delicate, high-stakes robotic maneuvers required for on-orbit servicing and assembly demands autonomous navigation and robotic control. And processing the torrent of data from advanced payloads to deliver timely insights requires onboard AI and edge computing.

This interconnectedness defines the strategic landscape of the new space age. The economic promise of mega-constellations creates the problem of orbital debris. This problem, in turn, drives the need for sustainability and creates the business case for an in-orbit servicing economy. And the immense complexity of managing all of these systems at scale can only be solved through the widespread application of artificial intelligence and autonomy. These forces are locked in a powerful feedback loop, driving the satellite industry toward a future that is more connected, more capable, more sustainable, and more intelligent.

Summary

The modern satellite is a testament to human ingenuity, an intricate system of systems that forms a vital, yet often invisible, part of our global infrastructure. Its architecture is a duality of purpose and platform: the mission-specific payload that defines what the satellite does, and the life-sustaining satellite bus that enables it to survive and operate in the harshness of space. Both halves are in a state of rapid evolution, driven by the relentless pursuit of greater capability, efficiency, and flexibility.

Across all types of payloads – from communications and Earth observation to navigation and science – the dominant trend is the migration of intelligence from the ground to the satellite itself. Through software-defined architectures, onboard processing, and artificial intelligence, satellites are transforming from passive data relays into autonomous, intelligent nodes capable of in-orbit analysis and decision-making. This shift is unlocking new capabilities and enabling services that are more responsive and powerful than ever before.

Simultaneously, the satellite bus is becoming lighter, more powerful, and more agile. Innovations in lightweight composite materials and 3D printing are revolutionizing structural design. Next-generation solar cells and solid-state batteries are pushing the boundaries of power systems. Electric propulsion is providing unprecedented fuel efficiency, enabling the large constellations and long-duration missions that define the modern era. Each subsystem is advancing not in isolation, but as part of a deeply interconnected platform where an improvement in one area creates new possibilities for the others.

These technological advancements are unfolding within a broader ecosystem shaped by powerful, interlocking trends. The rise of mega-constellations promises global connectivity but brings the challenge of a crowded and hazardous orbital environment. This has made space sustainability and debris mitigation a necessity for long-term operations. The high value of these new space assets is, in turn, creating the first real market for an in-orbit economy based on servicing, repairing, and upgrading satellites. Tying all of these developments together is the pervasive role of Artificial Intelligence, which provides the autonomy required to manage the immense scale and complexity of this new space age. The future of the satellite industry lies at the intersection of these forces, promising a world more connected, more observed, and more understood than ever before.

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Last update on 2025-12-19 / Affiliate links / Images from Amazon Product Advertising API

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