%0 Journal Article
%T Dimension-Reduced Searching Method for 3-D Target Imaging in Curvilinear SAR<br>三维目标曲线SAR成像的降维搜索算法
%A Su Zhi-gang
%A Peng Ying-ning
%A Wang Xiu-tan
%A <br>苏志刚
%A 彭应宁
%A 王秀坛
%J 电子与信息学报
%D 2006
%I 
%X CurviLinear Synthetic Aperture Radar (CLSAR), whose aperture is formed via single curvilinear trajectory, has the capability of three-dimensional (3-D) imaging. The 3-D images obtained by using non-parametric methods, however, have little practical use because the data collected by CLSAR is sparse in 3-D frequency space. Valuable 3-D target images are obtained by parametric methods. In this paper, a new algorithm is proposed for imaging 3-D target in CLSAR. With smartly utilizing the loose coupling between the range and cross-range parameters, the new algorithm reduces the problem of high dimensional optimization into several lower dimensional optimization, estimates them in sequence, and refines them via iteration. Simulation results show the new algorithm can efficiently form the target's 3-D image via CLSAR.
%K Radar signal processing
%K Synthetic Aperture Radar (SAR)
%K Radar imaging<br>雷达信号处理
%K 合成孔径雷达
%K 雷达成像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4D674A708A2C4AA4&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=78AF84DBB4041008&eid=20154CF366EC08B1&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10