Gender:Male
Date of Birth:1970-04-26
Alma Mater:The University of Hong Kong
Education Level:研究生毕业/硕士
[MORE]广东工业大学优秀班主任
2019年度广东省自然科学奖二等奖
广东工业大学先进工作者
广东工业大学优秀教学成果二等奖
广东工业大学优秀教学成果一等奖
DOI number:10.1109/LSP.2020.3048841
Journal:IEEE Signal Processing Letters
Funded by:National Natural Science Foundation of China under Grant 61771148
Key Words:Kernel correlation (KC), correlated non-Gaussian noise, Gaussian mixture (GM) distribution.
Abstract: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
First Author:Huadong Lai
Indexed by:Journal paper
Correspondence Author:Weichao Xu
Volume:28
Page Number:165 - 169
Translation or Not:no
Date of Publication:2021-01-05
Included Journals:SCI
Click:
The Last Update Time:..
