GEO-LEO双基地SAR成像算法研究 |
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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 |
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作者姓名: | 董 众 徐卓异 张善从 |
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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 |
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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。
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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 |
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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) |
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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. |
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Keywords: | GEO-LEO BI-SAR two-dimensional spectrum principle of stationary phase Doppler contribution ratio |
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