Efficient ISAR Imaging Approach for Nonuniformly Rotating Targets Based on ICPF-PPP

In this article, we introduce an improved algorithm for practical inverse synthetic aperture radar (ISAR) imaging, by utilizing the advantages of prominent point processing (PPP) and integrated cubic phase function (ICPF) in an efficient way. The proposed ICPF-PPP algorithm achieves a significant improvement compared to the conventional range-Doppler processing for ISAR imaging of a nonuniformly rotating target in terms of both image quality and computational efficiency. The experimental results using real datasets show that the proposed autofocus chain is highly efficient in forming ISAR images of a nonuniformly rotating target.