Fingerprint of radar signal

Lots of maritime vessels shut down their AIS transmitter to perform illegal activities, but they don’t power off their radar. Every radar being slightly different, it is possible to fingerprint each emitter and identify it without AIS.


Research for algorithms allowing to fingerprint radar emissions 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.

Required skills

The student is expected to deliver at the end of the project the following elements:

  • Signal processing
  • Python
  • 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.