Persymmetric Bayesian Detector in CompoundGaussian Clutter and Jamming

被引：0
作者：
Yang Haifeng [1 ]
Li Zhenxing [1 ]
Hu Xiaoqin [1 ]
Li Qiong [1 ]
Di Yuanshui [2 ]
机构：
[1] Air Force Early Warning Acad, Wuhan 430000, Peoples R China
[2] Unit 93856 PLA, Lanzhou 730000, Peoples R China
来源：
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY | 2022年 / 44卷 / 09期
关键词：
Bayesian detection; Persymmetric; Compound-Gaussian clutter; Jamming; ADAPTIVE DETECTION; SUBSPACE INTERFERENCE; TARGETS; GLRT;
D O I：
10.11999/JEIT210690
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, target detection in the presence of jamming and compound Gaussian clutter is studied.For improving the better detection performance under a low number of Independent Identically Distributed(IID) training samples, the persymmetric structure of the receive antenna and the priori information of cluttercovariance matrix are employed. Based on two step Generalized Likelihood Ratio Test (GLRT), the Bayesiandetector is derived under this background. Simulation results show that the proposed detector achieves betterperformance when the number of training samples is small
引用
收藏
页码：3163 / 3169
页数：7
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