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

Authors

Fok Hing Chi Tivive, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow

RIS ID

83173

Publication Details

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.

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.