Inverse Synthetic Aperture Radar Imaging of Non-uniformly Rotating Targets Based on Signal Parameter Estimation

Inverse synthetic aperture radar (ISAR) has important application value in sensing space environment and tracking and imaging space targets. In ISAR non-uniform rotating target imaging, the traditional range-Doppler imaging method will cause the image defocus due to the influence of the quadratic term. The combination of signal parameter estimation and range-Doppler technique with the help of cubic phase function (CPF) has higher robustness and can obtain high quality radar images.