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Adaptive detection of distributed target in the presence of signal mismatch in compound Gaussian clutter
Digital Signal Processing ( IF 2.9 ) Pub Date : 2020-04-28 , DOI: 10.1016/j.dsp.2020.102755
Zeyu Wang , Gang Li , Ming Li

This paper deals with adaptive detection of distributed targets in the presence of signal mismatch in compound Gaussian clutter. The texture is assumed random to match the non-Gaussian environment. To increase the capability of rejecting mismatched signals, a fictitious subspace signal is introduced under the null hypothesis. Under the above assumptions, we propose two adaptive selective detectors by using two-step generalized likelihood ratio test (GLRT) and maximum a-posteriori (MAP) GLRT design criteria. The two new detectors are demonstrated to achieve constant false alarm rate property with respect to the speckle covariance matrix. Numerical simulations indicate that the new detectors outperform the conventional one in terms of selectivity property.



中文翻译:

在复合高斯杂波中存在信号不匹配的情况下自适应检测分布式目标

本文研究了在复合高斯杂波中信号不匹配的情况下对分布式目标的自适应检测。假定纹理是随机的,以匹配非高斯环境。为了提高拒绝失配信号的能力,在零假设下引入了一个虚拟子空间信号。在上述假设下,我们通过使用两步广义似然比检验(GLRT)和最大后验(MAP)GLRT设计标准,提出了两个自适应选择性检测器。相对于散斑协方差矩阵,两个新的检测器被证明可以实现恒定的误报率属性。数值模拟表明,新的探测器在选择性方面优于传统探测器。

更新日期:2020-04-28
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