An SVD-based Approach for Mitigating Wall Reflections in Through-the-Wall Radar Imaging.

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 highlighting the targets.

Main Author: Tivive, Fok Hing Chi.
Other Authors: Bouzerdoum, Abdesselam., Amin, Moeness G.
Format: Villanova Faculty Authorship
Language: English
Published: 2011
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