A particle swarm optimization based SAR motion compensation algorithm for target image reconstruction
Date
2010
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Abstract
A new SAR motion compensation algorithm is proposed for robust reconstruction of target images even under large deviations of the platform from intended flight path. Phase error due to flight path deviations is estimated as a solution to an optimization problem in terms of the positions of the reflectivity centers of the target. Particle swarm optimization is used to obtain phase error estimates efficiently. The quality of the reconstructions is demonstrated by using simulation studies. © 2010 IEEE.
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2010 IEEE Radar Conference
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IEEE
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Keywords
Flight path deviation, Large deviations, Motion compensation algorithm, Optimization problems, Phase error, Robust reconstruction, Simulation studies, Target images, Flight paths, Image reconstruction, Motion compensation, Particle swarm optimization (PSO), Radar, Repair, Targets, Synthetic aperture radar
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English