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基于频域分析的ROSAR成像算法

杨科 廖桂生 徐青 张向阳

杨科, 廖桂生, 徐青, 等 . 基于频域分析的ROSAR成像算法[J]. 北京航空航天大学学报, 2012, (9): 1189-1193.
引用本文: 杨科, 廖桂生, 徐青, 等 . 基于频域分析的ROSAR成像算法[J]. 北京航空航天大学学报, 2012, (9): 1189-1193.
Yang Ke, Liao Guisheng, Xu Qing, et al. ROSAR imaging algorithm based on frequency analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (9): 1189-1193. (in Chinese)
Citation: Yang Ke, Liao Guisheng, Xu Qing, et al. ROSAR imaging algorithm based on frequency analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (9): 1189-1193. (in Chinese)

基于频域分析的ROSAR成像算法

基金项目: 国家973计划资助项目(2011CB707001);国家自然科学基金资助项目(61101242);中央高校基本科研业务费专项资金资助项目(K50511020009)
详细信息
  • 中图分类号: TN957.52

ROSAR imaging algorithm based on frequency analysis

  • 摘要: 在现有的ROSAR(Synthetic Aperture Radar with Rotating antennas)成像算法中,基于斜距泰勒级数展开的算法存在方位向失配问题,时域相关卷积算法不能快速校正距离弯曲.频域ROSAR成像算法采用驻相点原理,直接对ROSAR回波信号进行二维频域变换,保留回波信号的频谱特征,进而构造相应的频域去耦函数和频域匹配函数,实现频域距离弯曲校正和目标场景重构.仿真结果表明,该算法能够快速校正距离弯曲及有效克服方位向失配问题.

     

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出版历程
  • 收稿日期:  2011-10-20
  • 网络出版日期:  2012-09-30

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