Title :
Compressive sensing radar imaging based on smoothed l0 norm
Author_Institution :
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
Abstract :
Compressive sensing techniques have been shown to reduce the number of data samples beyond the Nyquist theorem, achieving perfect reconstruction of the original signal. In this paper, we propose a compressive sensing radar imaging arithmetic based on smoothed l0 norm. Simulation experiments conformed that the arithmetic has faster reconstruct speed and well reconstruct quality compare other arithmetic.
Keywords :
image reconstruction; radar imaging; smoothing methods; Nyquist theorem; compressive sensing; data samples; radar imaging; signal reconstruction; smoothed l0 norm; Compressed sensing; Image reconstruction; Imaging; Radar cross section; Radar imaging; Time measurement; Compressive Sensing; Radar Imaging; Signal Processing; Smoothedl0 Norm;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555599
