Title :
A SAR imaging algorithm based on compressed sensing
Author :
Xiao, Long ; Zong, Zhulin ; Wang, Jian
Author_Institution :
Research Institute of Electronic Science and Technology, UESTC, Chengdu, China
Abstract :
The paper proposes a 2-D pulse compression algorithm, which is applied to range compression and azimuth compression using OMP and BCS algorithm. The algorithm effectively reduced the data rate of the radar imaging system, and decreased the complexity of realization of the hardware system. Also, the radar imaging time is shortened, and the target sidelobe is suppressed and the imaging resolution is improved by using the propose algorithm. The performance of the algorithm is evaluated through the simulation of the SAR echo model of the point target. The simulation results verify the effectiveness of the scheme.
Keywords :
Bayesian Compressive Sensing(BCS); Compressive sensing; Orthogonal Matching Pursuit(OMP); Synthetic Aperture Radar(SAR);
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469860
