Title :
A Novel Adaptive Receiver for Flat Fading Channels with Impulsive Noise
Author :
Ying, Wenwei ; Jiang, Yuzhong ; Liu, Yueliang ; He, Chunquan
Author_Institution :
Coll. of Inf. & Electr. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
A method of blind estimation of signal and parameters of the channel model is proposed in an impulsive noise environment. A mixture of the symmetric alpha stable distribution and the Gaussian distribution is used to model the noise. Model parameters and signal are simultaneously estimated by iterative procedures derived from the Markov Chain Monte Carlo algorithm. Simulation results show that near-optimal performance and sub-optimal performance can be achieved by the adaptive receiver using a training sequence and the blind receiver, respectively.
Keywords :
Gaussian distribution; Markov processes; Monte Carlo methods; channel estimation; fading channels; impulse noise; iterative methods; Gaussian distribution; Markov chain Monte Carlo algorithm; adaptive receiver; blind estimation; blind receiver; flat fading channel; impulsive noise; iterative procedure; symmetric alpha stable distribution; training sequence; Estimation; Fading; Gaussian distribution; Noise; Random variables; Receivers; Training; Blind Estimation; Impulsive noise; Mixture model; Symmetric alpha stable distribution;
Conference_Titel :
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-4873-7
DOI :
10.1109/CIT.2012.134
