Detection of wide band signals with narrow band acquisition

Radio Frequency monitoring by satellites enables detection, identification and geolocation of sources from space. To close the link budget, wide band signals (20MHz) have to be reconstructed from narrow band acquisitions (1KHz). The goal of this project is to identify radio frequency activities on wide band considering those are acquired by narrow bands.


Research for algorithms particularly well suited for radio signals detection and implement those in gradually more and more representative environments of the operational hardware. The final goal is to prototype software to detect an activity on wide band signals using a narrow band acquisition before it gets ported on an avionics test bench.

Required skills

For the good realization of the project, it is recommended that the student have:

  • Signal processing
  • 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.