Research Article
Detection of Binary Signal with Both Impulsive and Gaussian Interference
@INPROCEEDINGS{10.1109/CHINACOM.2008.4685142, author={Kang Wang and Guomin Zhou and Zhenmao Xiang}, title={Detection of Binary Signal with Both Impulsive and Gaussian Interference}, proceedings={ChinaCom2008-Frontiers on Communications and Networking Symposium}, publisher={IEEE}, proceedings_a={CHINACOM2008-FCN}, year={2008}, month={11}, keywords={Detection symmetric alpha stable impulsive noise locally optimum}, doi={10.1109/CHINACOM.2008.4685142} }- Kang Wang
Guomin Zhou
Zhenmao Xiang
Year: 2008
Detection of Binary Signal with Both Impulsive and Gaussian Interference
CHINACOM2008-FCN
IEEE
DOI: 10.1109/CHINACOM.2008.4685142
Abstract
In communication environments such as power line channel, impulsive noise greatly deteriorates the performance of detection algorithm based on Gauss optimization. This paper introduces a symmetric alpha stable (SaS) distribution to model a statistical model of impulsive noise, and considers that interference in the receiver is a mixture of additional white Gaussian noise (AWGN) and SaS noise. Based on this noise model, a nonlinear detector is proposed through the numerical calculation method. Simulations show that the proposed detector is robust, and its performance is slightly worse than the locally optimum (LO) [1] in non-Gaussian environment, however, the key parameters do not need known in advance and its computational complexity is reduced greatly.
