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Multi-sensor reference diversity for improved OFDM signal reconstruction

: Schwark, C.; Heckenbach, J.


Sego, D.J. ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Radar Conference 2017 : 8-12 May, 2017, The Westin Seattle, Seattle, WA, USA
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-4673-8823-8
ISBN: 978-1-4673-8824-5
Radar Conference (RadarConf) <2017, Seattle/Wash.>
Fraunhofer FHR ()

Passive radar system performance is depending strongly on the quality of the received reference signal of an illuminator of opportunity. For digital transmitters decoding and re-encoding the digital signal allows the reconstruction of a noise-free replica of it. With increasing disturbances in the reference signal the error rate of the decoded information increases and leads to an inaccurate reference signal. We propose a method to use diverse reception from multiple sensors to optimize the reconstructed reference signal. Simulations and results from a multi-sensor system located in a wind park demonstrate its potential.