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基于扩展方位NLCS的斜视TOPSAR成像算法

江淮 赵惠昌 汉敏 张淑宁

江淮, 赵惠昌, 汉敏, 张淑宁. 基于扩展方位NLCS的斜视TOPSAR成像算法[J]. 电子与信息学报, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933
引用本文: 江淮, 赵惠昌, 汉敏, 张淑宁. 基于扩展方位NLCS的斜视TOPSAR成像算法[J]. 电子与信息学报, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933
JIANG Huai, ZHAO Huichang, HAN Min, ZHANG Shuning. A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933
Citation: JIANG Huai, ZHAO Huichang, HAN Min, ZHANG Shuning. A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933

基于扩展方位NLCS的斜视TOPSAR成像算法

doi: 10.11999/JEIT160933
基金项目: 

国家自然科学基金(61301216)

A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling

Funds: 

The National Natural Science Foundation of China (61301216)

  • 摘要: 斜视TOPSAR(Terrain Observation by Progressive scans SAR)成像模式中,场景内各点目标多普勒中心频率的差异导致方位向信号欠采样并加剧频谱的耦合。针对TOPSAR的回波特点,该文提出一种新的TOPSAR全孔径成像算法:首先引入高阶视向速度补偿消除回波信号的频域模糊;接着用非线性变标法对方位空变性进行补偿;最后用2维线性变标算法校正高阶视向速度补偿产生的几何形变问题。与传统算法相比,该文算法可在扩展较少数据量的情况下避免插值运算,提高成像效率。仿真结果证明了算法的正确性和有效性。
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    CHEN Qi, HUANG Haifeng, HE Feng et al. Full aperture imagining algorithm of TOPSAR based on frequency domain extension and SPECAN[J]. Journal of Electronics Information Technology, 2012, 34(10): 2246-2250. doi: 10.3724/SP.J.1146.2012.00366.
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出版历程
  • 收稿日期:  2016-09-19
  • 修回日期:  2016-11-10
  • 刊出日期:  2017-07-19

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