Imagine a satellite taking thousands of high-resolution photos, but the internet connection to Earth is too slow to send them all back. Instead of sending raw files, this technology acts like a smart filter and compressor right on the spacecraft. It processes the heavy data in orbit, so only the most important information is sent down, saving time and energy.
Satellites generate more data from optical and SAR sensors than current downlink capacities can handle. This creates a bottleneck that limits the effectiveness of Earth observation missions.
A high-performance on-board processing chain consisting of a Payload Processing Module (PPM) and a Mass Memory Module (MMM) using COTS FPGAs and GPUs.
If you are a satellite builder dealing with limited downlink bandwidth for SAR sensors — this project developed a payload processing and mass memory module that allows for higher data product performance in small platforms.
If you are a data provider dealing with the massive volume of radar imagery from LEO missions — this project developed power-efficient processing chains that enable more data to be delivered from data-intensive applications.
If you are a hardware integrator dealing with the need for miniaturized high-performance computing in space — this project developed a system using COTS FPGAs and GPU-equipped SoCs for robust on-board processing.
Based on available project data, specific pricing or cost details for the hardware modules are not provided.
Yes, the project focuses on scalable processing capabilities and the use of COTS components to support various Low-Earth Orbit (LEO) missions.
Based on available project data, the specific IP and licensing agreements are not disclosed in the summary.
The system uses a Payload Processing Module (PPM) and a Mass Memory Module (MMM) with defined inter-module interfaces and a specific concept of operations.
The project period runs from 2022-11-01 to 2026-02-28, with hardware manufacturing currently underway.
The consortium is highly industry-driven with a 60% industry ratio, consisting of 5 partners across 3 countries (DE, EL, SE). With 3 SMEs involved, including the coordinator DSI Aerospace GmbH, the project is structured for commercial translation rather than pure academic research.
Contact DSI Aerospace GmbH regarding the Payload Processing Module (PPM) and Mass Memory Module (MMM) specifications.
Contact us to explore integration opportunities for COTS-based space processing hardware.
