Range-doppler radar target detection using denoising within the compressive sensing framework

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Range-doppler radar target detection using denoising within the compressive sensing framework.pdf (348.04 KB)

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2014-09

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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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European Signal Processing Conference

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IEEE

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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

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http://hdl.handle.net/11693/27385

Published Version (Please cite this version)

https://ieeexplore.ieee.org/document/6952710

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Scholarly Publications - Electrical and Electronics Engineering

Language

English

Type

Conference Paper