Phase error compensation method for maneuvering target based on image entropy minimization

Phase error compensation is very important for inverse synthetic aperture radar (ISAR) high-resolution imaging. However, the high-order motion of maneuvering target will cause the echo to produce spatial-variant phase error, traditional compensation methods cannot achieve good compensation results. Therefore, a phase error compensation method for maneuvering target is proposed. Firstly, the spatial-variant phase error model of maneuvering target is established. Then, the target motion is modeled as a high-order polynomial, and the phase error compensation model based on image entropy minimization is established. Finally, the whale optimization algorithm (WOA) algorithm is used to iteratively search the target motion parameters for phase error compensation. The proposed method's performance is demonstrated by the simulation results.