Range-doppler radar target detection using denoising within the compressive sensing framework
Date
2014-09
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Source Title
European Signal Processing Conference
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Publisher
IEEE
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1950 - 1954
Language
English
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Abstract
Compressive sensing (CS) idea enables the reconstruction of a sparse signal from a small set of measurements. CS approach has applications in many practical areas. One of the areas is radar systems. In this article, the radar ambiguity function is denoised within the CS framework. A new denoising method on the projection onto the epigraph set of the convex function is also developed for this purpose. This approach is compared to the other CS reconstruction algorithms. Experimental results are presented1. © 2014 EURASIP.
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Keywords
Ambiguity Function , Denoising , Compressed sensing , Doppler radar , Functions , Radar systems , Radar target recognition , Signal reconstruction , Tracking radar , Ambiguity function , Compressive sensing , Convex functions , De-noising , Denoising methods , Radar signal processing , Radar target detection , Reconstruction algorithms , Signal processing