Persymmetric Bayesian Detector in Compound Gaussian Clutter and Jamming
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摘要: 该文对复合高斯杂波条件下存在干扰时的目标检测问题进行研究。针对自适应检测器需要一定数目独立同分布训练样本才能保证较好的检测性能，利用接收天线的反对称结构以及引入杂波协方差矩阵的先验信息的方法，利用两步广义似然比检验准则提出了该背景下的贝叶斯检测器。仿真结果表明，该文提出的检测器在训练样本数较少时具有较好的目标检测性能。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.
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Key words:
- Bayesian detection /
- Persymmetric /
- Compound-Gaussian clutter /
- Jamming
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