SAR Muti-Channel Adaptive Equalization Method Based on Particle Swarm Optimization

Multi-channel SAR system improves the suppression performance of the main lobe clutter by increasing the degree of spatial freedom. In actual project, channel mismatch will greatly reduce the performance of clutter suppression. How to eliminate the amplitude and phase errors between channels has become an important engineering problem. Aiming at the problem of inconsistent amplitude and phase between the receiving channels of bistatic multi-channel SAR systems, this paper proposes an adaptive channel equalization method with faster convergence speed and lower computational complexity. Firstly, analyze and model the channel mismatch by constructing the echo model of the bistatic multi-channel SAR. Then use the adaptive algorithm to complete the equalization processing of multi-channel echo signal, and propose a method of combining the particle swarm algorithm and the adaptive algorithms. Through simulation and experimental data verification, the adaptive channel equalization technology combined with particle swarm algorithm can compensate the relative error between channels more accurately and efficiently.