CFAR detection for the complex approximated message passing reconstructed SAR image

Hui Bi, Bingchen Zhang, Xiao Xiang Zhu, Wen Hong, Yirong Wu

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Complex approximated message passing (CAMP) is an iterative recovery algorithm for L1 regularization reconstruction which can achieve sparse and non-sparse estimations of original signal simultaneously. This paper demonstrates a CAMP-based synthetic aperture radar (SAR) image regularization reconstruction method along with a constant false alarm rate (CFAR) detection via the output non-sparse image of CAMP iterative algorithm. Compared with iterative thresholding algorithm (ITA) and orthogonal matching pursuit (OMP), the conventional L1 regularization reconstruction techniques, it not only can improve SAR image performance, but also its non-sparse estimation retains a similar background statistical distribution as conventional matched filtering (MF)-based techniques, which can be used for CFAR detection efficiently. Simulated and experimental results validate the effectiveness of the designed CFAR detector for the CAMP reconstructed SAR image.

OriginalspracheEnglisch
Titel2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten133-137
Seitenumfang5
ISBN (elektronisch)9781509029204
DOIs
PublikationsstatusVeröffentlicht - 15 Nov. 2016
Extern publiziertJa
Veranstaltung4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 - Aachen, Deutschland
Dauer: 19 Sept. 201623 Sept. 2016

Publikationsreihe

Name2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016

Konferenz

Konferenz4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Land/GebietDeutschland
OrtAachen
Zeitraum19/09/1623/09/16

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