An Optimization Algorithm of Moving Targets Refocusing Via Parameter Estimation Dependence of Maximum Sharpness Principle After BP Integral

Refocusing moving targets in synthetic aperture radar (SAR) images is a challenging task Because of the unknown motion parameters of the targets. Thus, exact parameter estimation is required in the moving targets reconstructed. In order to solve the question, this paper proposed an optimization algorithm of moving targets refocusing via parameter estimation dependence of maximum sharpness principle after back projection (BP) integral. This method consists of three groups: Firstly, moving targets is detected and extracted from SAR images dependence of BP algorithm. Then, the extra phase brought by the motion parameters are obtained by driving exact function of target's 2-D wavenumber spectrum. Finally, based on the maximum sharpness principle, the motion parameters are optimized by iteratively compensating the extra phase. Moving targets can be focused well by removing the extra phase via the estimated parameters. Both simulation data and real data processing is used to demonstrate the effectiveness of the proposed algorithm.