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Compressed sensing for the detection of moving targets from short sequences of pulses: Special section "sparse reconstruction in remote sensing"

 
: Prünte, L.

:

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
S.85-89
International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) <3, 2015, Pisa>
Englisch
Konferenzbeitrag
Fraunhofer FHR ()

Abstract
The detection of ground moving targets from Mp ≈ 100 pulses of multichannel radar data allows the surveilance of wide areas. In this paper, their sparse distribution is utilized to produce a reconstruction of an angle-Doppler matrix using two different compressed sensing approaches - ℓ1-relaxation and smoothed L0. For an exemplary set of real data, the targets are detected and presented in a map of the scenery.

: http://publica.fraunhofer.de/dokumente/N-444914.html