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GEO-LEO双基地SAR成像算法研究
引用本文:董 众,徐卓异,张善从. GEO-LEO双基地SAR成像算法研究[J]. 现代电子技术, 2014, 0(16): 98-103
作者姓名:董 众  徐卓异  张善从
作者单位:[1]中国科学院空间应用工程与技术中心,北京100094; [2]北京卫星信息工程研究所,北京100083
摘    要:提出一种基于多普勒贡献比加权的GEO-LEO星载双基地SAR二维频谱求解方法,与现有的频谱求解方法不同,该方法根据加权因子的物理意义,并利用GEO-LEO的轨道参数推导其相应的解析表达式,在没有引入误差的情况下,解决了GEO-LEO双基地SAR的二维频谱表达式求解问题。并与二维尺度变换逆FFT成像算法结合,实现了GEO-LEO双基地SAR对地面目标的精确成像。仿真实验结果表明了算法的优越性。

关 键 词:GEO-LEO  双基地SAR  二维频谱  驻相原理  多普勒贡献比

GEO-LEO BI-SAR imaging algorithm
Affiliation:DONG Zhong, XU Zhuoyi, ZHANG Shancong (1. Technology and Engineering Center for Space Utilization, Chinese Academy of Science, Beijing 100094, China; 2. Space Star Technology Co., Ltd, Beijing 100083, China)
Abstract:A Doppler distribution weighted method is proposed to solve the two-dimensional spectrum of GEO-LEO Bi-SAR imaging system. Different from the existing methods,this method deduces the corresponding analytical expression according to the physical significance of weight factor and the orbital parameters of GEO-LEO satellites. The solution difficulty of the two-di-mensional spectrum expression was overcome without any introducing errors. In combination with an Inverse Scaled Fast Fourier Transformation algorithm,the accurate ground target imaging of GEO-LEO Bi-SAR was realized. The simulation results show the advantages of the imaging method proposed in the paper.
Keywords:GEO-LEO  BI-SAR  two-dimensional spectrum  principle of stationary phase  Doppler contribution ratio
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