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The S4PRO Project
Smart and Scalable Satellite High-Speed Processing chain (S4Pro) is a 3-year H2020 project coordinated by iTUBS that started 1st November 2018. Its consortium gathers 7 partners from 3 European countries and one from an associated country (Tunisia). The global budget is of 2.6M€.
Over the last decades the number of satellites in orbit has been constantly growing and the spacecraft payload complexity and demand continuously increased. Today, satellites provide close to full Earth coverage and produce a significant amount of data that needs to be downlinked to Earth for processing.
The downlink constraints combined with the constantly growing productivity of missions require faster data handling, processing and transfer. Present processing solutions show constraints regarding computational performance. Size and transfer speeds of on-board storage, mass memory limited downlink and transmission capabilities. Furthermore, existing toolchains are not able to support recent evolving technologies.
S4PRO what for
S4Pro will design and implement enabling technology for high-end data products produced on-board spacecraft by implementing a power efficient high-performance space processing chain designed for low-Earth orbit (LEO) missions with a focus on Earth observation and satellite communication systems.
S4Pro will further improve the performance of image product generation, including final image product generation (e.g. for SAR). S4Pro sets its clear focus on miniaturization and improving of inherent system scalability with various parameters such as processing performance, size, power-consumption, storage capacity etc., as a major project objective.
This implementation will be achieved through the optimisation of the payload data management system accompanied by use of COTS components, as well as through the miniaturisation of high-performance hardware. S4Pro will combine state-of-the-art industrial computing technologies (COTS), equipped with advanced and scalable processing capabilities, and space qualified beyond state-of-the-art computing platforms in order to optimise the data processing chain and support the next generation of data intensive missions.