DocumentCode :
714947
Title :
Joint-sparse estimation of migration targets with velocity ambiguity
Author :
Ming Fang ; Fengzhou Dai ; Hongwei Liu ; Xiaomo Wang
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
fYear :
2015
fDate :
10-15 May 2015
Firstpage :
1202
Lastpage :
1205
Abstract :
Range migration is the basic and troublesome problem in moving target detection for wideband radar. In this paper, we propose a joint-sparse estimation algorithm that gives a sparse representation of migration targets with velocity ambiguity. The proposed algorithm utilizes a non-ambiguous representation of the wideband signals to alleviate the velocity ambiguity, then the estimation of the targets scenario is achieved by joint-sparse recovery. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm in case of a multi-target scenario.
Keywords :
numerical analysis; radar detection; radar tracking; target tracking; joint sparse estimation; joint sparse recovery; migration targets; range migration; sparse representation; target detection; target estimation; velocity ambiguity; wideband radar; Bayes methods; Doppler effect; Estimation; Logic gates; Radar; Signal processing algorithms; Wideband; joint-sparse recovery; range migration; target detection; wideband radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131177
Filename :
7131177
Link To Document :
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