Multi-view through-the-wall radar imaging using compressed sensing

Authors

Jie Yang, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow
Moeness G. Amin, Villanova UniversityFollow

RIS ID

61921

Publication Details

Yang, J., Bouzerdoum, A. & Amin, M. G. (2010). Multi-view through-the-wall radar imaging using compressed sensing. 18th European Signal Processing Conference, EUSIPCO 2010 (pp. 1429-1433).

Abstract

This paper considers the problem of Through-the-Wall Radar Imaging (TWRI) from multiple views using Compressed Sensing (CS). The scene reconstruction problem is reformulated in terms of finding a sparse representation of the target locations, consistent with the observations. In contrast to the common approach of first applying image formation to each view and then fusing the single-view images, observations from the different views are combined together into a composite measurement vector and a new dictionary is constructed accordingly. A sparse image representation of the scene is then obtained from the composite measurement vector and the new dictionary using 1 -norm minimization. Experimental results demonstrate that the proposed approach using various standoff distances and perspectives achieves a better performance in terms of detecting targets compared to the alternative approach of image formation followed by fusion.