A high resolution sar imaging method for moving target based on range doppler and particle swarm optimization algorithm

Synthetic aperture radar (SAR) imaging for moving target can obtain complete situational awareness information of the detection area, and can realize the monitoring and control for moving target in the region of interest, which has important military and civilian dual-use value. However, due to the complex motion of target, the processing results of the existing SAR imaging methods severly defocused. In this paper, a high resolution SAR imaging method for moving target is proposed. First, we eliminate the coupling induced by linear range cell migration (RCM) by keystone transform. Then, the particle swarm optimization algorithm (PSO) is utilized to estimate the Doppler frequency rate, which can solve the problem of Doppler frequency rate mismatching when azimuth compression. Simulation results verifies the effectiveness of the proposed method.