利用样本协方差矩阵特征值分解实现双通道SAR动目标检测

田斌; 朱岱寅; 朱兆达

doi:10.3724/SP.J.1146.2009.01570

利用样本协方差矩阵特征值分解实现双通道SAR动目标检测

doi: 10.3724/SP.J.1146.2009.01570

基金项目:

航空科学基金(20080152004)和教育部高校博士点基金(20070280531)资助课题

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出版历程
- 收稿日期: 2009-12-08
- 修回日期: 2010-04-21
- 刊出日期: 2010-11-19

Dual Channels SAR Ground Moving Target Detection with Eigen-decomposition of the Sample Covariance Matrix

摘要

摘要: 该文针对机载双通道SAR-GMTI系统及实测数据，提出一种新的地面慢动目标检测方法。该方法基于双通道样本协方差矩阵特征值分解，将杂波第2特征值和干涉相位联合统计特性的研究结果用于慢动目标检测，即根据给定的恒虚警概率确定一条联合分布的第2特征值干涉相位等高线作为门限检测曲线，同时结合第2特征值、干涉相位门限预处理，实现地面慢动目标的精确检测。实测数据实验结果表明：该方法不但扩大了慢动目标的可检测速度范围，同时还降低了系统的虚警概率。
- 动目标检测 /
- 样本协方差矩阵 /
- 特征值分解 /
- 联合概率分布 /
- 等高线
Abstract: A novel approach to moving target detection is proposed for dual-channel SAR system. This approach is on the basis of eigen-decomposition of the sample covariance matrix and examines the statistic of the second eigenvalue and the Along-Track Interferometric (ATI) phase for ground moving target indication. Based on this statistic, a new Constant False Alarm Rate (CFAR) detector can be designed to solve the problem of GMTI. To detect slow moving targets more accurately, the second eigenvalue and the ATI phase pre-thresholds are implemented before a CFAR detector. Experimental results on measured SAR data are presented to demonstrate that this novel detector has wider range of detection velocity and lower false alarm probability.
- Moving target detection /
- Sample covariance matrix /
- Eigen-decomposition /
- Joint probability distribution /
- Contour line

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参考文献(1)

Gierull C H. Statistics of SAR interferograms with application to moving target detection [R]. Technical Report TR 2001-045, Defence Research and Development, Canada,2001.[2]Budillon A, Pascazio V, and Schirinzi G. Moving target detection in along track SAR interferometry from in-phase and quadrature components data. Geoscience and Remote Sensing Symposium, Boston, USA, 2008: 1178-1181.[3]Chapin E and Chen C W. Airborne along-track interferometry for GMTI [J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 24(5): 13-18.[4]Lightstone L, Faubert D, and Rempel G. Multiple phase center DPCA for airborne radar. Proceedings of the 1991 IEEE National Radar Conference, Los Angeles, USA, 1991: 36-40.[5]Sikaneta I C, Gierull C H, and Houinard J Y. Metrics for SAR-GMTI based on eigen-decomposition of the sample covariance matrix. IEEE National Radar Conference, Adelaide, Australia, 2003: 442-477.[6]Sikaneta I C and Houinard J Y. Eigen-decomposition of the multi-channel covariance matrix with applications to SAR-GMTI [J]. IET Signal Processing, 2004, 84(9): 1501-1535.[7]袁昊，周荫清，李景文. 基于幅度和相位联合的ATI动目标检测新方法[J].北京航空航天大学学报.2007, 33(2):169-175Yuan Hao, Zhou Yin-qing, and Li Jing-wen. New method of ATI moving targets indication based on amplitude and phase thresholds [J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(2): 169-175.[8]时公涛, 匡纲要, 桂琳. 基于邻域平均和正交分解的双通道SAR图像域慢动目标检测方法[J].电子与信息学报.2009, 31(2):353-357浏览Shi Gong-tao, Kuang Gang-yao, and Gui Lin. A novel ground moving target detector in dual-channel SAR images based on adjacent average and orthogonal projection [J].Journal of Electronics Information Technology.2009, 31(2):353-357

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