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17 April 2008Compressed sensing technique for high-resolution radar imaging
Compressed sensing (CS) has recently attracted much interest because of its important offerings and versatility.
High-resolution radar imaging applications such as through-the-wall radar (TWR) imaging or inverse synthetic
aperture radar (ISAR) are two key application areas that can greatly benefit from CS. Both applications require
probing targets using radar signals with large bandwidth for collecting, and then processing, a large number of
data samples for achieving high resolution imaging. These applications are also characterized by sparse imaging
where targets of interest are few and have larger cross-section than clutter objects. Reducing the number of
samples without compromising the imaging quality reduces the acquisition time and saves signal bandwidth.
This reduction is important when surveillance is performed within small time window and when targets are
required to remain stationary without translation or rotation motions, to avoid blurring and smearing of images.
In this paper, we discuss applicability of compressed sensing to indoor radar imaging, using synthesized TWR
data.
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Yeo-Sun Yoon, Moeness G. Amin, "Compressed sensing technique for high-resolution radar imaging," Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69681A (17 April 2008); https://doi.org/10.1117/12.777175