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

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 me...

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Bibliographic Details
Main Authors: Sevimli, R. Akin, Tofighi, Mohammad, Cetin, A. Enis
Format: Conference Proceeding
Language:English
Subjects:
Ambiguity Function
Compressed sensing
Compressive Sensing
Denoising
Matching pursuit algorithms
Noise reduction
Radar imaging
Radar Signal Processing
Signal processing algorithms
Vectors
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Summary: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.
ISSN:2219-5491
2219-5491