曲线合成孔径雷达迭代算法

唐 智; 李景文; 王宝发

曲线合成孔径雷达迭代算法

北京航空航天大学电子信息工程学院, 北京 100083

基金项目: 中国博士后科学基金资助项目(20060390398)

详细信息

作者简介:
唐智(1977-),男,湖北十堰人,博士后,tangzhi1977@sohu.com.

中图分类号: TN 957
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- 被引次数: 11
出版历程
- 收稿日期: 2006-09-05
- 网络出版日期: 2007-08-31

Curvilinear synthetic aperture radar iterative algorithm

School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 研究了曲线合成孔径雷达(SAR,Synthetic Aperture Radar)二维信号模型和三维信号模型,得到了曲线SAR回波信号的数学表达式.将迭代算法应用于曲线SAR, 根据最小化非线性方差准则得到了曲线SAR中RELAX估计算法代价函数,详细研究了二维RELAX估计算法和三维RELAX估计算法的每一个具体步骤,可估计出目标点的散射强度和位置.给出了递推过程,规定了收敛条件,分析了RELAX估计算法的特点和计算量,得出RELAX算法收敛速度快,计算量相对较小,收敛条件苛刻会增加RELAX算法的计算量.研究成果为应用迭代算法提取曲线SAR数据的三维信息提供了指导.
- 合成孔径雷达 /
- 曲线 /
- 迭代 /
- RELAX算法
Abstract: Curvilinear SAR (synthetic aperture radar) 2-D signal model and 3-D signal model were studied. The curvilinear SAR echo signal mathematic equation was derived. Iterative algorithm was applied to curvilinear SAR. According to minimum non-linear variance criteria, RELAX algorithm cost function in curvilinear SAR was founded. Every procedure in 2-D RELAX algorithm and 3-D RELAX algorithm was studied in detail. The target scatter amplitude and position can be estimated. The recursive idea was presented. The convergence condition was given. The characteristic and computation for RELAX algorithm were analyzed. RELAX algorithm can converge quickly and its computation is comparatively small. Rigorous convergence condition can increase RELAX algorithm computation. The analysis provides direction for curvilinear SAR data 3-D information extraction with iterative algorithm.
- SAR (synthetic aperture radar) /
- curvilinear /
- iterative /
- RELAX algorithm

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参考文献(1)

[1] Tang Zhi, Li Jingwen, Zhou Yinqing. Motion error analysis and compensation for airborne formation flying InSAR[C]International Geoscience and Remote Sensing Symposium (IGARSS).Piscataway,NJ:IEEE,2004,4:2618-2621  [2]Tang Zhi, Li Jingwen, Zhou Yinqing. Analysis on noise reduction method for interferometric SAR image[C]International Geoscience and Remote Sensing Symposium (IGARSS). Piscataway,NJ:IEEE,2004,6:4243-4246 [3]Tang Zhi, Li Jingwen, Zhou Yinqing, et al. Research on optimal aperture for curvilinear SAR [J]. Journal of Astronautics, 2006,27(5):897-903 [4]Li J, Bi Z, Liu Z S, et al. Use of curvilinear SAR for threedimensional target feature extraction [J]. IEE Proceedings:Radar, Sonar and Navigation,1997,144 (5):275-283  [5] 关治，陈景良. 数值计算方法[M]. 北京：清华大学出版社, 2001:414-423 Guan Zhi, Chen Jingliang. Numerical computation methods[M]. Beijing:Tsinghua University Press, 2001:414-423(in Chinese) [6] Markus S, Weerawarana S, Houstis E N, et al. Scientific computing via the web:the net pellpack PSE server [J]. IEEE Computational Science & Engineering, 1997, 4 (3):43-51

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