Robust Imaging of Aerial Targets With Maneuvering Trajectory Based on Multioptimization Strategies Under a Spaceborne SAR/ISAR Hybrid Mode

作     者：Wan, Zhiqiang Shao, Shuai Fan, Jiabo Xu, Gang Chen, Bo 

作者机构：Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China Innovat Acad Microsatellites Chinese Acad Sci Shanghai 201304 Peoples R China Southeast Univ Sch Informat Sci & Engn State Key Lab Millimeter Waves Nanjing 210096 Peoples R China 

出 版 物：《IEEE GEOSCIENCE AND REMOTE SENSING LETTERS》 (IEEE Geosci. Remote Sens. Lett.)

年 卷 期：2025年第22卷

核心收录：

学科分类：0808[工学-电气工程] 1002[医学-临床医学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基　　金：National Natural Science Foundation of China Foundation of National Key Laboratory of Radar Signal Processing [JKW202305] China Postdoctoral Science Foundation [2022M722502] Shaanxi Postdoctoral Sustentation Fund [2023BSHYDZZ94] National Key Laboratory of Microwave Imaging Technology 

主　　题：Imaging Spaceborne radar Radar imaging Trajectory Entropy Optimization Solid modeling Polynomials Motion compensation Radar Aerial targets inverse synthetic aperture radar (ISAR) minimum entropy optimal imaging time interval (OITI) selection translational motion compensation 

摘      要：The aerial targets with maneuvering trajectories can result in severe defocusing in inverse synthetic aperture radar (ISAR) images, while the low signal-to-noise ratio (SNR) from remote observations can also pose challenges to imaging. However, due to the stable motion state of satellites and their higher speeds compared to aerial targets, the accumulation time required for imaging is relatively short. This makes the impact of aerial target trajectory maneuvers on imaging effects relatively minor, providing a significant advantage for robust imaging of aerial targets with maneuvering trajectory under a spaceborne SAR/ISAR hybrid mode. This letter proposes an algorithm for robust imaging of aerial targets with maneuvering trajectory based on multioptimization strategies (OSs) under a spaceborne SAR/ISAR hybrid mode. In this algorithm, robust imaging is divided into two parts: 1) multistep optimal imaging time interval selection method based on OSs (MS-OITI-OSs). Through multiple optimization steps based on the target s aerial trajectory and image information, the method achieves robust selection of the OITI by utilizing an attitude first, quality later optimization strategy, reducing computational complexity and increasing imaging success rates;and 2) joint translational motion compensation method based on OSs (JTMC-OSs). Characterizing motion parameters using a polynomial model, the method optimizes the motion parameters using image entropy as the objective function through the Grasshopper optimization algorithm (GOA). During the optimization process, a high-order first, low-order later optimization strategy is employed based on the impact of motion parameters on imaging quality to achieve robust translational motion compensation. The proposed algorithm enables robust imaging of aerial targets with maneuvering trajectory based on multi-OSs under a spaceborne SAR/ISAR hybrid mode. Extensive experimental validation confirms the effectiveness and robustness of the