An SVD-based approach for mitigating wall reflections in through-the-wall radar imaging

Authors

Fok Hing Chi Tivive, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow
Moeness G Amin, Villanova UniversityFollow

RIS ID

39181

Publication Details

Tivive, F., Bouzerdoum, A. & Amin, M. (2011). An SVD-based approach for mitigating wall reflections in through-the-wall radar imaging. 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 (pp. 519-524). United States: IEEE.

Abstract

In this paper, we mitigate wall EM returns in through-the-wall radar imaging (TWRI) using singular value decomposition (SVD). To suppress wall reflections, the SVD is applied to the B-scan matrix of the received signals. The signal space is decomposed into three subspaces: the clutter subspace, the target subspace, and the noise subspace. Then, a set of normalized and smoothed eigen-components are combined to produce the target signal. Finally, delay-and-sum beamforming is applied to the reconstructed B-scan matrix to form the image. Experimental results demonstrate that the proposed method is effective in removing background, reducing clutter, and high lighting the targets.