CAVU Aerospace UK

Edge Computing, Enables the satellite to think!

OBC-Polar Vs. OBC-Polar-Edge

These edge computing solutions combine radiation-tolerant Microchip PolarFire FPGAs with NVIDIA Jetson Orin modules, delivering unprecedented on-board processing capability for next-generation satellite missions. This architecture enables satellites to move beyond traditional command-and-data handling and towards true on-orbit intelligence.

Edge computing refers to performing data processing, analysis, and decision-making directly on the satellite, rather than downlinking raw data to the ground for processing.

In space systems, this means:

  • Processing payload data immediately after acquisition
  • Extracting insights instead of transmitting large raw datasets
  • Making autonomous decisions in orbit with minimal ground intervention

This paradigm shift is increasingly important as satellite payloads generate higher data volumes and missions demand faster response times.

Edge computing OBCs are designed around a heterogeneous computing architecture:

PolarFire FPGA (Mission-Critical Layer)

  • Radiation-tolerant, low-power FPGA
  • Deterministic real-time control
  • Platform management, health monitoring, interfaces, and safety functions
  • Secure boot, fault tolerance, and watchdog supervision

NVIDIA Jetson Orin (High-Performance Compute Layer)

  • GPU-accelerated AI and machine-learning processing
  • High-throughput data handling
  • Support for modern AI frameworks (CUDA, TensorRT, ROS, PyTorch)
  • Optimized for computer vision, signal processing, and autonomy

This separation allows the FPGA-based OBC to remain in control of the spacecraft at all times, while the Jetson Orin operates as a powerful co-processor for payload intelligence.

PolarEdge Edge Computing Satellite OBC-Polar OBC-Polar-Edge

How Edge Computing Differs from OBC-Cube-Polar

The OBC-Cube-Polar is a high-performance, flight-proven CubeSat OBC based on a PolarFire SoC FPGA with multi-core RISC-V processors. It is well suited for:

  • Command & data handling (C&DH)
  • Payload control
  • Moderate on-board data processing
  • Running RTOS or embedded Linux
  • Power-efficient, reliable CubeSat missions

However, edge computing platforms go significantly beyond this capability.

Key Differences

Aspect

OBC-Cube-Polar

CAVU Edge Computing OBC

Processing Type

Embedded RISC-V CPUs

FPGA + GPU-accelerated AI

AI / ML Capability

Limited / experimental

Native, high-performance

Data Processing

Moderate

Very high (real-time analytics)

Payload Intelligence

Basic

Advanced autonomy & inference

Data Downlink Strategy

Raw or lightly processed data

Event-driven, insight-based data

Mission Autonomy

Ground-centric

On-orbit decision making

In essence, OBC-Cube-Polar is an advanced spacecraft brain, while edge computing platforms add a powerful “cognitive layer” on top.

What Difference Does Edge Computing Make?

Reduced Downlink Bandwidth

Instead of transmitting full datasets (e.g. images, spectra, RF captures), the satellite can:

  • Downlink only relevant events
  • Send extracted features or alerts
  • Discard unimportant data autonomously

This dramatically reduces bandwidth requirements and ground station costs.

Real-Time On-Orbit Decision Making

Edge computing enables seeing, understanding, and acting in orbit:

  • Detect targets or anomalies immediately
  • Trigger follow-up observations
  • Adapt mission behavior without waiting for ground commands

This is critical for time-sensitive missions.

AI-Enabled Payloads

With NVIDIA Jetson Orin, missions can deploy:

  • On-board image classification and object detection
  • Change detection and monitoring
  • RF signal identification
  • Autonomous navigation and formation flying support

Increased Mission Autonomy

Edge computing shifts operations from ground-driven to spacecraft-driven, enabling:

  • Smarter constellations
  • Reduced operational workload
  • Faster response to dynamic environments

Mission Types That Benefit Most

CAVU’s edge computing OBCs are particularly well suited for:

  • Earth observation and surveillance
  • Hyperspectral and SAR payloads
  • Space situational awareness
  • RF intelligence and spectrum monitoring
  • Autonomous and responsive space missions
  • AI demonstration and in-orbit validation missions

For more traditional CubeSat missions focused on C&DH, power efficiency, and reliability, OBC-Cube-Polar remains an excellent solution.

CAVU Aerospace UK’s edge computing platforms represent the next step in satellite on-board computing. By combining radiation-tolerant PolarFire FPGAs with NVIDIA Jetson Orin AI processors, we enable satellites to process data where it matters most — in orbit.

While OBC-Cube-Polar delivers robust, high-performance spacecraft control, CAVU’s edge computing solutions unlock on-board intelligence, autonomy, and AI-driven missions, fundamentally changing what small satellites can achieve.

Understanding the Added Value of Edge Computing in Space

Architectural Comparison

Aspect

OBC-Cube-Polar

OBC-Polar-Edge

Core Architecture

PolarFire SoC FPGA (RISC-V CPUs)

PolarFire FPGA + NVIDIA Jetson Orin

Compute Model

Embedded, CPU-centric

Heterogeneous (FPGA + CPU + GPU)

Primary Role

Spacecraft brain (C&DH)

Spacecraft brain + AI payload processor

Autonomy Level

Limited / rule-based

Advanced, AI-driven

Mission Critical Control

Yes (primary)

Yes (handled by PolarFire FPGA)

Processing Capability

OBC-Cube-Polar

  • Multi-core RISC-V processors
  • Deterministic real-time performance
  • Suitable for:
    • C&DH
    • Payload control
    • Data routing and compression
    • Moderate on-board processing

OBC-Polar-Edge

  • Adds GPU-accelerated processing via Jetson Orin
  • Capable of:
    • AI/ML inference
    • Real-time image and signal processing
    • Parallel compute workloads
  • Orders of magnitude higher processing throughput for payload data

Key Difference:
OBC-Cube-Polar processes data efficiently; OBC-Polar-Edge understands and interprets data on orbit.

AI & Machine Learning Capability

Feature

OBC-Cube-Polar

OBC-Polar-Edge

AI Framework Support

Experimental / limited

Native (CUDA, TensorRT, PyTorch, ROS)

GPU Acceleration

Neural Network Inference

On-Orbit Learning / Adaptation

Limited / mission-specific

Edge Advantage:
Enables deploying terrestrial AI models directly in space, without off-loading computation to the ground.

Data Handling & Downlink Strategy

OBC-Cube-Polar

  • Collects and formats payload data
  • Relies on ground segment for:
    • Interpretation
    • Feature extraction
    • Event detection
  • Typically downlinks raw or lightly processed data

OBC-Polar-Edge

  • Performs:
    • Feature extraction
    • Event detection
    • Classification and filtering
  • Downlinks:
    • Insights
    • Alerts
    • Reduced datasets

Impact:
Edge computing can reduce downlink volumes by 10×–100×, depending on mission profile.

Mission Autonomy

Capability

OBC-Cube-Polar

OBC-Polar-Edge

Rule-Based Autonomy

AI-Driven Decisions

Adaptive Mission Planning

Event-Triggered Actions

Limited

Advanced

Edge Advantage:
Satellites can observe, decide, and act without waiting for ground commands.

Interface & Payload Support

Both platforms support standard spacecraft interfaces (SpaceWire, CAN, RS-422, SPI, I²C), but:

  • OBC-Cube-Polar is optimized for traditional spacecraft subsystems.
  • OBC-Polar-Edge adds high-bandwidth data paths suitable for:
    • High-resolution imagers
    • Hyperspectral sensors
    • RF digitizers
    • Vision-based payloads

Power & System Considerations

Parameter

OBC-Cube-Polar

OBC-Polar-Edge

Power Consumption

Low to moderate

Higher (AI compute dependent)

Thermal Design

Simpler

More demanding

System Complexity

Lower

Higher

Trade-off:
Edge computing requires more power and thermal management, but delivers significantly higher mission value.

OBC-Cube-Polar – Best Fit For

  • Traditional CubeSat missions
  • C&DH-centric spacecraft
  • Power-constrained platforms
  • Missions with strong ground-segment processing
  • Technology demonstration & institutional missions

OBC-Polar-Edge – Best Fit For

  • Earth observation & surveillance
  • AI-enabled payloads
  • Responsive and autonomous missions
  • High-data-rate sensors
  • Constellations requiring local intelligence
  • Commercial missions where data value > data volume

 

  • OBC-Cube-Polar is a high-performance, reliable spacecraft OBC.
  • OBC-Polar-Edge builds on this foundation by adding on-orbit intelligence, enabling satellites to process, understand, and act on data in space.

In short:

OBC-Cube-Polar controls the satellite.
OBC-Polar-Edge enables the satellite to think.