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HRR detection theory in coherent Weibull clutter

机译:相干威布尔杂波中的HRR检测理论

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摘要

In this paper, we first introduce the definition of spherically invariant random vector (SIRV) and then give the representation of Weibull distribution by SIRV and two detection algorithms for Weibull clutter. In particular, the optimum detector is derived for the distributed target by the Neyman-Pearson (NP) criterion. Since the optimum NP detector is impossible to realize at the practical situations, we also introduce the GLRT-based adaptive detector. Finally, the numerical results show that the performance loss due to adaptively estimating the covariance matrix and texture component is negligible.
机译:在本文中,我们首先介绍了球形不变随机矢量(SIRV)的定义,然后给出了用SIRV表示的Weibull分布和两种Weibull杂波检测算法。尤其是,根据Neyman-Pearson(NP)准则为分布式目标导出了最佳检测器。由于在实际情况中不可能实现最佳的NP检测器,因此我们还介绍了基于GLRT的自适应检测器。最后,数值结果表明,由于自适应估计协方差矩阵和纹理分量而导致的性能损失可以忽略不计。

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