DocumentCode
152943
Title
Range-Doppler radar target detection using compressive sensing
Author
Sevimli, R. Akin ; Tofighi, Mohammad ; Cetin, A. Enis
Author_Institution
Elektr. ve Elektron. Muhendisligi Bolumu, Bilkent Univ., Ankara, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
1893
Lastpage
1896
Abstract
Compressive sensing (CS) idea enables the reconstruction of a sparse signal from small number of measurements. CS approach has many applications in many 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 presented.
Keywords
Doppler radar; compressed sensing; radar signal processing; radar target recognition; signal reconstruction; compressive sensing; convex function; denoising method; range Doppler radar target detection; sparse signal reconstruction; Compressed sensing; Conferences; Doppler effect; Matching pursuit algorithms; Radar imaging; Signal processing; Ambiguity Function; Compressive Sensing; Radar Signal Processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830624
Filename
6830624
Link To Document