双基角时变下的空间目标BISAR自聚焦算法

Abstract

Abstract: To absolve the defocusing problem caused by bistatic angle change and synchronization error in bistatic inverse synthetic aperture radar (BISAR) for space targets, a non-parameter autofocusing algorithm based on particle swarm optimization (PSO) is put forward. Phase variation caused by translational motion, rotation and various other factors is modeled as a whole, and based on the optimization aim of maximizing the image contrast, all the second and higher order phase items are estimated using the PSO. Then, image autofocusing is completed using the estimated phase error. Finally, the first order phase item which is left over after phase compensation is used for ISAR imaging. Defocusing caused by model error in the parameter autofocusing algorithm is solved and the complexity of BISAR autofocusing is decreased. The validity of this algorithm is proved by a comparison with the parameter autofocusing algorithm through simulation experiment.

Key words: space target, bistatic inverse synthetic aperture radar, autofocusing, particle swarm optimization, contrast maximization

CLC Number:

HAN Ning, WANG Libing, HE Qiang, DONG Jian. BISAR Autofocusing Algorithm of Space Targets in Presence of Bistatic Angle Changes[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, 33(10): 1864-1871.

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BISAR Autofocusing Algorithm of Space Targets in Presence of Bistatic Angle Changes

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