Compression algorithms for RF signals
Radio Frequency monitoring by satellites generate substantial quantities of raw data. Because downlink capabilities from satellites are limited, lossless data compression is key to maximize the efficiency of the Earth Observation system.
Research for algorithms particularly well suited for lossless radio frequency spectrum monitoring and implement those in gradually more and more representative environments of the operational hardware. The final goal is to prototype software before it gets ported on an avionics test bench.
For the good realization of the project, it is recommended that the student have:
- Signal processing and Data compression
- Programming skills in Python and C
- Ability to appraise and adapt the project to fulfill the needs of the Space Domain operation team
- A sense of responsibility to provide the work quality to be used for everyday applications
Place of work
École Polytechnique Fédérale de Lausanne Campus, 1015 Lausanne, Switzerland
Fluency in English, French spoken. This project is proposed as a collaboration with aerospacelab. The duration of the project is 6 months and can start asap.
Aerospacelab’s mission is supported by an ambitious vertically integrated approach: Intelligence and Insights empowered by proprietary satellite data, enabled by our own satellites. Since its creation in 2018, the company has already grown substantially.
In 2022, Aerospacelab counts offices in Mont-Saint-Guibert and Louvain-la-Neuve (Belgium), Bordeaux (France) and Lausanne (Switzerland) with more than 150 full-time employees, to position itself as the European leader in Geospatial Intelligence and small satellites platforms.