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A particle swarm optimization based SAR motion compensation algorithm for target image reconstruction

机译:基于粒子群优化的SAR运动补偿算法用于目标图像重建

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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.
机译:提出了一种新的SAR运动补偿算法,即使在平台与预期飞行路径有较大偏差的情况下,也可以对目标图像进行鲁棒的重建。估计由于目标的反射率中心位置而导致的由飞行路径偏差引起的相位误差作为优化问题的解决方案。粒子群优化用于有效地获得相位误差估计。通过使用仿真研究证明了重建的质量。

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