High Frame Rate Along-Track Swarm SAR Subaperture Collaboration Imaging for Moving Target

作     者：Jiang, Nan Chen, Jianlai Zhu, Jiahua Liang, Buge Yang, Degui Huang, Xiaotao Xing, Mengdao 

作者机构：Cent South Univ Sch Automat Changsha 410083 Peoples R China Natl Univ Def Technol Coll Meteorol & Oceanog Changsha 410073 Peoples R China Natl Univ Def Technol Coll Elect Sci & Technol Changsha 410073 Peoples R China Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》 (IEEE Trans Geosci Remote Sens)

年 卷 期：2025年第63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 Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST) [2022QNRC001] Open Foundation of the National Key Laboratory of Automatic Target Recognition 

主　　题：Imaging Synthetic aperture radar Apertures Data acquisition Transmitters Radar polarimetry Radar imaging Parameter estimation High-resolution imaging Estimation Along-track swarm synthetic aperture radar (SAR) complete echo reconstruction high frame rate moving target imaging multistatic SAR (Multi-SAR) imaging 

摘      要：As a novel configuration of along-track multistatic synthetic aperture radar (Multi-SAR), the high frame rate along-track swarm SAR (ATS-SAR) has garnered significant attention in recent years due to its exceptional efficiency in reducing data acquisition time. Motivated by its potential for high-resolution imaging of moving targets, this article investigates the application of ATS-SAR in moving target imaging. However, high frame rate ATS-SAR-based moving target imaging confronts two critical challenges: time-space coupling and partial data loss in moving target echoes. To address these challenges, we first conduct a comprehensive analysis and theoretical derivation of the moving target echo model under the high frame rate ATS-SAR configuration. Subsequently, we propose an innovative motion parameter estimation algorithm that exploits unique echo characteristics to achieve high-performance imaging. Furthermore, we introduce the high-resolution, high frame rate ATS-SAR subaperture collaborative imaging algorithm for moving targets (MT-SACIm-ATS). Extensive simulations and a real measured experiment validate the effectiveness of the MT-SACIm-ATS algorithm, demonstrating imaging performance that closely approximates reference imaging results. Comparative analysis with several state-of-the-art algorithms further highlights the superiority of the proposed approach in terms of resolution and robustness.