DOI码：10.1109/LSP.2020.3048841

发表刊物：IEEE Signal Processing Letters

项目来源：National Natural Science Foundation of China under Grant 61771148

关键字：Kernel correlation (KC), correlated non-Gaussian noise, Gaussian mixture (GM) distribution.

摘要：This letter proposes a robust detector based on kernel correlation (KC) for detecting the presence of a common random signal shared in two channels corrupted by correlated non-Gaussian impulsive noise. A bivariate Gaussian mixture (GM) distribution is employed to simulate the correlation and impulsive characteristic of the noise across two channels. The test statistic is constructed by the dot product of preprocessed data obtained by imposing the nonlinear Gaussian kernel on the original observed samples from the two channels. Performance metrics with respect to the probabilities of false alarm and detection are established in view of the central limit theorem (CLT). Simulation results illustrated that, in terms of receiver operating characteristic (ROC) curve and detection probability, the proposed method is superior to other state-of-the-art detection algorithms in the literature

第一作者：赖华东

论文类型：期刊论文

通讯作者：徐维超

卷号：28

页面范围：165 - 169

是否译文：否

发表时间：2021-01-05

收录刊物：SCI