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.

中文翻译：

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基于ICPF-PPP的非匀速旋转目标ISAR高效成像方法

在本文中，我们通过有效利用突出点处理（PPP）和积分三次相位函数（ICPF）的优势，介绍了一种实用的逆合成孔径雷达（ISAR）成像改进算法。与传统的距离多普勒处理相比，所提出的 ICPF-PPP 算法在图像质量和计算效率方面实现了非均匀旋转目标 ISAR 成像的显着改进。使用真实数据集的实验结果表明，所提出的自动聚焦链在形成非均匀旋转目标的 ISAR 图像方面非常有效。