A SAR imaging algorithm based on compressed sensing

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...

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Hauptverfasser:	Xiao Long, Zong Zhulin, Wang Jian
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Azimuth Bayesian Compressive Sensing(BCS) Compressive sensing Image reconstruction Imaging Orthogonal Matching Pursuit(OMP) Radar imaging Signal processing algorithms Signal to noise ratio Synthetic aperture radar Synthetic Aperture Radar(SAR)
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/CISP.2012.6469860