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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638033