Persymmetric Bayesian Detector in Compound Gaussian Clutter and Jamming

YANG Haifeng; LI Zhenxing; HU Xiaoqin; LI Qiong; DI Yuanshui

doi:10.11999/JEIT210690

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3163-3169

YANG Haifeng, LI Zhenxing, HU Xiaoqin, LI Qiong, DI Yuanshui. Persymmetric Bayesian Detector in Compound Gaussian Clutter and Jamming[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3163-3169. doi: 10.11999/JEIT210690

Citation:

YANG Haifeng, LI Zhenxing, HU Xiaoqin, LI Qiong, DI Yuanshui. Persymmetric Bayesian Detector in Compound Gaussian Clutter and Jamming[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3163-3169. doi: 10.11999/JEIT210690

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Persymmetric Bayesian Detector in Compound Gaussian Clutter and Jamming

doi: 10.11999/JEIT210690

1.
Air Force Early Warning Academy, Wuhan 430000, China
2.
Unit 93856 PLA, Lanzhou 730000, China

Received Date: 2021-07-09
Rev Recd Date: 2022-03-27

Available Online: 2022-04-15

Publish Date: 2022-09-19

Abstract

Abstract

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 clutter covariance matrix are employed. Based on two step Generalized Likelihood Ratio Test (GLRT), the Bayesian detector is derived under this background. Simulation results show that the proposed detector achieves better performance when the number of training samples is small.
- Bayesian detection,
- Persymmetric,
- Compound-Gaussian clutter,
- Jamming

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References(22)

References

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