A Nonparametric Translational Motion Compensation Algorithm for ISAR Imaging by Using the Alternating Iteration and LBFGS Algorithm

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-04-14 DOI:10.1109/JSTARS.2025.3560365

Yuexin Gao;Min Xue;Hanwen Yu;Jianlai Chen

{"title":"A Nonparametric Translational Motion Compensation Algorithm for ISAR Imaging by Using the Alternating Iteration and LBFGS Algorithm","authors":"Yuexin Gao;Min Xue;Hanwen Yu;Jianlai Chen","doi":"10.1109/JSTARS.2025.3560365","DOIUrl":null,"url":null,"abstract":"A translational motion compensation method for a target with nonparametric translation in dechirping system is proposed in this paper. We establish the nonparametric translational motion compensation scheme based on the optimization of an image's sharpness. Since the impacts of the range shifts and phase errors on an image's quality are different, we convert the optimization into an alternating iteration of estimating two vectors. These two kinds of iterations are searching for range shifts and phase errors for each range profile, respectively. The Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is used to solve the optimization problems with high efficiency. According to the application of the proposed algorithm to the real data, it is valid and could be faster and be of higher performance in comparison with some existing methods.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"11623-11633"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10964234","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10964234/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

A translational motion compensation method for a target with nonparametric translation in dechirping system is proposed in this paper. We establish the nonparametric translational motion compensation scheme based on the optimization of an image's sharpness. Since the impacts of the range shifts and phase errors on an image's quality are different, we convert the optimization into an alternating iteration of estimating two vectors. These two kinds of iterations are searching for range shifts and phase errors for each range profile, respectively. The Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is used to solve the optimization problems with high efficiency. According to the application of the proposed algorithm to the real data, it is valid and could be faster and be of higher performance in comparison with some existing methods.

查看原文本刊更多论文

基于交替迭代和LBFGS算法的ISAR成像非参数平移运动补偿算法

提出了一种针对非参数平移目标的平移运动补偿方法。建立了基于图像清晰度优化的非参数平移运动补偿方案。由于距离偏移和相位误差对图像质量的影响是不同的，我们将优化转化为估计两个向量的交替迭代。这两种迭代分别搜索每个距离轮廓的距离位移和相位误差。采用有限记忆Broyden-Fletcher-Goldfarb-Shanno （BFGS）算法高效地求解优化问题。通过对实际数据的应用表明，与现有的算法相比，所提算法是有效的，而且速度更快，性能更高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.