Title :
Detection of binary signal with both impulsive and Gaussian interference
Author :
Wang, Kang ; Zhou, Guomin ; Xiang, Zhenmao
Author_Institution :
Basic Courses Dept., Zhejiang Police Coll., Hangzhou
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 (SalphaS) 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 SalphaS 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) in non-Gaussian environment, however, the key parameters do not need known in advance and its computational complexity is reduced greatly.
Keywords :
AWGN channels; carrier transmission on power lines; impulse noise; signal detection; statistical distributions; AWGN; Gaussian interference; additional white Gaussian noise; binary signal detection; computational complexity; impulsive interference; nonlinear detector; receiver interference; statistical model; symmetric alpha stable distribution; AWGN; Additive white noise; Computational modeling; Detection algorithms; Detectors; Gaussian channels; Gaussian noise; Interference; Signal detection; Working environment noise; detection; impulsive noise; locally optimum; symmetric alpha stable;
Conference_Titel :
Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2373-6
Electronic_ISBN :
978-1-4244-2374-3
DOI :
10.1109/CHINACOM.2008.4685142