DocumentCode :
1660905
Title :
A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging
Author :
Tivive, Fok Hing Chi ; Bouzerdoum, Abdesselam
Author_Institution :
Sch. of Electr., Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
fYear :
2013
Firstpage :
2144
Lastpage :
2148
Abstract :
In this paper, we present a compressed sensing method for complex-valued signals based on multiple measurement vector compressed sensing model. The proposed method constrains the real and imaginary parts of the recovered signal to have the same sparsity profile. It is applied to a compressed sensing through-the-wall radar imaging problem. Experiments based on synthetic data shows that the proposed method achieves lower reconstruction error than the existing CS method.
Keywords :
compressed sensing; radar imaging; signal reconstruction; CS method; complex-valued signals; compressed sensing method; multiple measurement vector compressed sensing model; reconstruction error; recovered signal; sparsity profile; synthetic data; through-the-wall radar imaging; Abstracts; Array signal processing; Image resolution; Indexes; Sensors; Complex-valued; Compressive sensing; Multiple measurement vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638033
Filename :
6638033
Link To Document :
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