基于协方差矩阵特征分解的多通道SAR-GMTI方法及性能分析
doi: 10.3724/SP.J.1146.2007.01086
Multi-Channel SAR-GMTI Technique and Performance Analysis Using Eigen-Decomposition
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摘要: 该文提出了一种基于协方差矩阵特征分解的多通道运动目标检测和测速定位方法，该方法依据多通道SAR数据协方差矩阵特征分解后小特征值和的幅度变化来检测运动目标。在检测出运动目标后，先利用两幅复图像的干涉相位对目标径向速度进行粗略估计，再通过搜索动目标空域导向矢量的方法对径向速度进行精确估计，克服了干涉相位对杂波和噪声的敏感性。仿真数据和实测数据验证了该方法的有效性。Abstract: A multi-channel SAR-GMTI technique based on eigen-decomposition of the covariance matrix is proposed. The variation of the sum of small eigenvalues of the covariance matrix is used to detect moving targets. The radial velocity of the moving target is estimated by two steps. Firstly, using the interferometric phase of two SAR images to get the coarse radial velocity estimation, then the more precise radial velocity is obtained by searching the space-domain steering vector of the moving target. It overcomes the sensitivity of the interferometric phase to clutter and noise. The effectiveness of the presented technique is demonstrated by both simulated and measured SAR data.
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