Open Access
25 January 2013 Two-stage through-the-wall radar image formation using compressive sensing
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Abstract
We introduce a robust image-formation approach for through-the-wall radar imaging (TWRI). The proposed approach consists of two stages involving compressive sensing (CS) followed by delay-and-sum (DS) beamforming. In the first stage, CS is used to reconstruct a complete set of measurements from a small subset collected with a reduced number of transceivers and frequencies. DS beamforming is then applied to form the image using the reconstructed measurements. To promote sparsity of the CS solution, an overcomplete Gabor dictionary is employed to sparsely represent the imaged scene. The new approach requires far fewer measurement samples than the conventional DS beamforming and CS-based TWRI methods to reconstruct a high-quality image of the scene. Experimental results based on simulated and real data demonstrate the effectiveness and robustness of the proposed two-stage image formation technique, especially when the measurement set is drastically reduced.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Van Ha Tang, Abdesselam Bouzerdoum, and Son Lam Phung "Two-stage through-the-wall radar image formation using compressive sensing," Journal of Electronic Imaging 22(2), 021006 (25 January 2013). https://doi.org/10.1117/1.JEI.22.2.021006
Published: 25 January 2013
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CITATIONS
Cited by 30 scholarly publications.
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KEYWORDS
Associative arrays

Image acquisition

Antennas

Data acquisition

Radar

Image quality

Signal to noise ratio

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