吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (06): 1685-1689.doi: 10.7964/jdxbgxb201306040

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New adaptive receiver for channels with non-Gaussian noise

YING Wen-wei1, OU Yong-heng2, JIANG Yu-zhong1, ZHANG Jia-wei1, CHEN Cong3   

  1. 1. College of Information and Electrical Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. 25th Squadron of East China Sea Fleet Commander Department of Navy, Ningbo 315000, China;
    3. College of Science, Naval University of Engineering, Wuhan 430033, China
  • Received:2012-05-30 Online:2013-11-01 Published:2013-11-01

Abstract:

In order to detect signals in low frequency channels with non-Gaussian noise, a novel adaptive receiver is developed. A Markov Chain Monte Carlo (MCMC) algorithm is proposed to estimate the fading coefficients and the noise model parameters simultaneously using the training sequence;then the signal is estimated by the optimal decision rule. A commonly used model, which mixes the symmetric α distribution and the Gaussian distribution, is used to model the noise. Simulation results show that the performance of proposed adaptive receiver can approach that of the optimal receiver with known channel model parameters.

Key words: communication, adaptive receiver, non-Gaussian noise, Markov Chain Monte Carlo algorithm, atmospheric noise

CLC Number: 

  • TN911.4

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