Joint Phase Error Correction Method Based on Maximum Contrast

In the process of high-resolution inverse synthetic aperture radar imaging (ISAR), the rotational phase error introduced by the target rotation cannot be ignored, and the performance of the traditional translational phase error correction method is seriously reduced due to the influence of the rotational phase error. Therefore, a method of joint phase error correction based on maximum contrast is proposed in this paper, which can correct the residual translational phase error and rotational phase error at the same time, and further improve the quality of imaging. Firstly, the echo signal is processed by the traditional motion compensation method, and then the phase error correction problem is converted into the maximum contrast optimization problem according to the maximum contrast criterion, and finally the improved Quasi-Newtonian algorithm is used to solve it. This method can enable accurate imaging of high-resolution inverse synthetic aperture radar, and the resulting image focusing effect is good. Through the processing of simulation data and real data, the effectiveness of the proposed method is verified.