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Fuzzy CFAR Detectors for MIMO Radars in Homogeneous and Non-Homogeneous Pareto Clutter
Journal of Communications Technology and Electronics ( IF 0.5 ) Pub Date : 2021-02-10 , DOI: 10.1134/s1064226921010046
F. Khaldi , F. Soltani , M. Baadeche

Abstract

In this paper, we propose to use fuzzy fusion rules to improve the performances of the CA-CFAR and OS-CFAR detectors for non-coherent MIMO radars in homogenous and non-homogenous Pareto background. First, the membership function for each individual detector is computed. At the fusion center, the membership functions are combined using four fuzzy fusion rules, namely; the “MIN”, “MAX”, “algebraic product” and the “algebraic sum” to yield a binary decision after defuzzification. The obtained results show that for a number of nodes equal to four, the performance is the best for a high number of receivers. In homogeneous background, the “algebraic product” fusion rule gives the best result when SCR > 4 dB whereas the “algebraic sum” is the best when SCR < 4 dB for the CA-CFAR. For the OS-CFAR, it is clearly shown that the “algebraic product” is the best. In non-homogenous case, the “algebraic sum” fusion rule gives the best results for the CA-CFAR, and the “algebraic product” for the OS-CFAR.



中文翻译:

均质和非均质帕累托杂波中MIMO雷达的模糊CFAR检测器

摘要

在本文中,我们建议使用模糊融合规则来提高CA-CFAR和OS-CFAR检测器在同质和非同质Pareto背景下用于非相干MIMO雷达的性能。首先,计算每个检测器的隶属度函数。在融合中心,隶属函数使用四个模糊融合规则进行组合,即:在解模糊后产生二进制决定的“最小”,“最大”,“代数乘积”和“代数和”。获得的结果表明,对于数量等于四个的节点,性能对于大量的接收器而言是最佳的。在均质背景下,对于CA-CFAR,当SCR> 4 dB时,“代数乘积”融合法则可获得最佳结果,而当SCR <4 dB时,“代数和”则最佳。对于OS-CFAR,清楚地表明,“代数积”是最好的。在非同质情况下,“代数和”融合规则为CA-CFAR提供最佳结果,为OS-CFAR提供“代数乘积”。

更新日期:2021-02-10
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