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Single frequency surveillance radar network using an adapted ℓ minimization approach for extended targets

: Weiß, M.


Institute of Electrical and Electronics Engineers -IEEE-; Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik -FHR-, Wachtberg:
4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 : 19-23 September 2016, Aachen, Germany
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-2920-4
ISBN: 978-1-5090-2921-1
International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) <3, 2015, Pisa>
Fraunhofer FHR ()

A surveillance systems based on passive radar technique with distributed node has several advantages compared to traditional monostatic radar systems. For instance, a target will be illuminated and observed from different aspects angles. This improves the detection performance and the range/Doppler estimation. A distributed network topology of the surveillance system allows to increase the number of targets which the system can manage simultaneously. From the operators point of view a passive system has the advantage that no electromagnetic energy is emitted and, hence, there is no hassle with any frequency license and the power consumption is low. Investigations have shown that digital broadcast communication stations like DAB-T or DVB-T are very promising illuminator of opportunity for such a system due to their signal modulation characteristic and their possibility to establish a single frequency distributed radar network. An â1 minimization approach is described within this paper for a single frequency passive radar surveillance network. In real scenarios most objects are spread out over several range/Doppler cells due to their size and/or owing to their motion over the coherent integration time. The presented approach is enhanced in such a way that measurements inaccuracies and the effects of extended targets are taken into account.