Sevimli, R. AkınTofighi, MohammadÇetin, A. Enis2016-02-082016-02-082014-09http://hdl.handle.net/11693/27385Date of Conference: 1-5 Sept. 2014Conference name: 22nd European Signal Processing Conference (EUSIPCO), 2014Compressive 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.EnglishAmbiguity FunctionDenoisingCompressed sensingDoppler radarFunctionsRadar systemsRadar target recognitionSignal reconstructionTracking radarAmbiguity functionCompressive sensingConvex functionsDe-noisingDenoising methodsRadar signal processingRadar target detectionReconstruction algorithmsSignal processingConference Paper