ISAR imaging based on oversampling smoothness of prior knowledge

For Inverse Synthetic Aperture Radar (ISAR) autofocus imaging, this paper puts forward an algorithm for maneuvering targets based on improved oversampling smoothness (OSS) phase retrieval. According theoretical derivation, random noise makes the received Fourier magnitude of raw data and the actual Fourier magnitude value of the maneuvering target very different. So the traditional phase retrieval algorithm will no longer apply to ISAR imaging under the condition of random noise. Compared to traditional ISAR imaging and OSS algorithm, the proposed algorithm not only can obtain high resolution imaging under the condition of random noise, but also greatly improve the accuracy of the algorithm. The simulation results show the effectiveness.