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地球同步轨道SAR两维奇异值分解成像方法
引用本文:游冬,孙光才,李亚超,陈溅来,邢孟道.地球同步轨道SAR两维奇异值分解成像方法[J].系统工程与电子技术,2018,40(10):2200-2206.
作者姓名:游冬  孙光才  李亚超  陈溅来  邢孟道
作者单位:1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071; 2. 西安电子科技大学信息感知技术协同创新中心, 陕西 西安 710071
摘    要:针对地球同步轨道合成孔径雷达(geosynchronous synthetic aperture radar, GEO-SAR)长合成时间和大观测场景严重的二维空变将影响二维聚焦深度的问题,该文提出了一种GEO-SAR两维奇异值分解成像方法。该方法首先对距离空变信号进行奇异值分解得到距离多普勒的耦合特性,通过距离频率插值和重采样完成距离空变校正;接着,对方位空变信号进行奇异值分解将方位空变与多普勒分离,通过级联的两步奇异值分解和方位非线性变标操作完成方位空变校正,实现整个场景的聚焦。最后,仿真结果验证了该方法的有效性。


Two-dimension SVD imaging method for GEO SAR
YOU Dong,SUN Guangcai,LI Yachao,CHEN Jianlai,XING Mengdao.Two-dimension SVD imaging method for GEO SAR[J].System Engineering and Electronics,2018,40(10):2200-2206.
Authors:YOU Dong  SUN Guangcai  LI Yachao  CHEN Jianlai  XING Mengdao
Institution:1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China;; 2. Collaborative Innovation Center of Information Sensing and Understand, Xidian University, Xi’an 710071, China;
Abstract:The two-dimension space variation in large observing scenes and long synthetic aperture time of geosynchronous synthetic aperture radar (GEO SAR) will influence the focus depth in two dimensions. We proposed a 2-D singular value decomposition (SVD) imaging method for GEO SAR. First, the coupling feature between range and Doppler can be obtained by decomposing the range variant signal, and the coupling can be corrected by range frequency interpolation and resampling. Second, the Doppler can be separated from the azimuth variation by decomposing the azimuth variant signal, a tandem SVD-NCS interpolation is used to correct the azimuth variation and focus the entire scene. Finally, the validity of the proposed method is verified by the simulation results.
Keywords:
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