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Covariance matrix estimation method in compound Gaussian sea clutter

机译:复合高斯海杂波的协方差矩阵估计方法

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As the radar resolution has increased, the statistics of the clutter have no longer been observed to be Gaussian. The performance of traditional detectors was decreased badly in non-Gaussian environment. This paper proposed a covariance matrix estimate algorithm of detector in non-Gaussian sea clutter. The technique is based on the fix-point(FP) estimator that the iterative initalization matrix is a toeplitz matrix. In this paper, the proposed technique estimator performance is compared with two other covariance matrix estimators in real sea clutter data.The simulation results show that the proposed method can enhance the detector performance in real sea clutter.
机译:随着雷达分辨率的提高,不再观察到混乱的统计数据是高斯的。在非高斯环境下,传统探测器的性能严重下降。提出了一种非高斯海杂波中探测器的协方差矩阵估计算法。该技术基于定点(FP)估计器,迭代初始化矩阵是toeplitz矩阵。在实际海杂波数据中,将本文提出的技术估计器性能与其他两个协方差矩阵估计器进行了比较。仿真结果表明,该方法可以提高实际海杂波中的检测器性能。

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