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.
Highlights
Through-the-wall radar imaging (TWRI) is an emerging technology with considerable research interest and important applications in surveillance and reconnaissance for both civilian and military missions.[1,2,3,4,5,6] To deliver high-resolution radar images in both range and crossrange, TWRI systems use wideband signals and large aperture arrays
We proposed a new approach for TWRI image formation based on compressive sensing (CS) and DS beamforming
The proposed approach requires significantly fewer number of frequency bins and antenna locations for sensing operations. This leads to a considerable reduction in data acquisition, processing time, and computational complexity, while producing TWRI images of almost the same quality as the DS beamforming approach with full data volume
Summary
Through-the-wall radar imaging (TWRI) is an emerging technology with considerable research interest and important applications in surveillance and reconnaissance for both civilian and military missions.[1,2,3,4,5,6] To deliver high-resolution radar images in both range and crossrange, TWRI systems use wideband signals and large aperture arrays (physical or synthetic). This leads to prolonged data acquisition and high computational complexity because a large number of samples need to be processed. CS is used here to reconstruct a full measurement set, which is employed for image formation using delay-and-sum (DS) beamforming
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