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A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging

Conference Paper


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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.

Publication Date


  • 2013

Citation


  • F. Tivive & A. Bouzerdoum, "A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging," in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing, 2013, pp. 2144-2148.

Scopus Eid


  • 2-s2.0-84890470671

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2641&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1632

Start Page


  • 2144

End Page


  • 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.

Publication Date


  • 2013

Citation


  • F. Tivive & A. Bouzerdoum, "A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging," in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing, 2013, pp. 2144-2148.

Scopus Eid


  • 2-s2.0-84890470671

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2641&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1632

Start Page


  • 2144

End Page


  • 2148