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星载SAR 成像处理算法综述
引用本文:李春升,杨威,王鹏波.星载SAR 成像处理算法综述[J].雷达学报,2013,2(1):111-122.
作者姓名:李春升  杨威  王鹏波
作者单位:(北京航空航天大学电子信息工程学院 北京 100191)
基金项目:国家高技术研究发展计划(863计划)(2011AA*******)资助课题
摘    要:该文首先回顾了欧美等国家星载SAR 卫星技术的发展历程及发展趋势,介绍了各国在轨卫星及未来卫星发射计划等相关情况,在此基础上对星载合成孔径雷达卫星成像处理算法进行了总结和分析。论文具体分析了各主要成像算法的优缺点并指出其适用范围和应用现状,进而阐述了星载合成孔径雷达成像处理算法的发展趋势,重点介绍了基于压缩感知理论和基于新模式的成像处理算法,并给出了仿真结果。 

关 键 词:合成孔径雷达    时域算法    距离多普勒域算法    多变换域算法    2  维频域算法
收稿时间:2012-09-20

A Review of Spaceborne SAR Algorithm for Image Formation
Li Chun-sheng Yang Wei Wang Peng-bo.A Review of Spaceborne SAR Algorithm for Image Formation[J].Journal of Radars,2013,2(1):111-122.
Authors:Li Chun-sheng Yang Wei Wang Peng-bo
Affiliation:(School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)
Abstract:This paper first reviews the history and trends in the development of spaceborne Synthetic Aperture Radar (SAR) satellite technology in the USA and Europe. The basic information regarding launched satellites and future satellite plans are introduced. Then, this paper summarizes and categorizes the imaging algorithms of spaceborn SAR satellites, and analyzes the advantages and disadvantages of each algorithm. Next, the scope and the application status of each algorithm are presented. Then, the paper presents details of trends related to the SAR imaging algorithm, which mainly introduces the algorithms based on compressive sensing theory and new image modes. The simulation results are also presented. Finally, we summarize the development direction of the spaceborne SAR imaging algorithm. 
Keywords:
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