Compressed sensing technique for high-resolution radar imaging

Yeo-Sun Yoon; Moeness G. Amin

doi:10.1117/12.777175

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17 April 2008 Compressed sensing technique for high-resolution radar imaging

Yeo-Sun Yoon, Moeness G. Amin

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Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 69681A (2008) https://doi.org/10.1117/12.777175
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

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 and 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

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