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Adaptive detection of radar targets in compound-Gaussian clutter

机译:复合高斯杂波中雷达目标的自适应检测

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摘要

This paper explores the problem of adaptive detection of radar targets in compound-Gaussian clutter. In particular we present a result that transitions between the adaptive detector of Kelly and the adaptive-linear quadratic detector of various authors, and also recovers the optimal detector in Student-t distributed clutter when the estimate of the covariance matrix is replaced by the exact matrix.
机译:本文探讨了复合高斯杂波中雷达目标的自适应检测问题。特别是,我们提出了一个结果,即在Kelly的自适应检测器与各种作者的自适应线性二次检测器之间进行转换,并且当用精确矩阵替换协方差矩阵的估计时,还恢复了Student-t分布杂波中的最佳检测器。 。

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