A Blind Receiver with Multiple Antennas in Impulsive Noise Modeled as the Sub-Gaussian Distribution via the MCMC Algorithm

Author

Wenwei Ying ; Yuzhong Jiang ; Yueliang Liu ; Puxuan Li

Author_Institution

Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China

Volume

62

Issue

7

fYear

2013

fDate

Sept. 2013

Firstpage

3492

Lastpage

3497

Abstract

Receivers with an antenna array based on the assumption of Gaussian noise have experienced poor performance in extremely low-frequency/very-low-frequency (ELF/VLF) communication systems, in which the noise is highly impulsive. In this paper, a blind receiver with multiple antennas for channels with impulsive noise is developed to estimate signal and channel parameters jointly by using the Markov chain Monte Carlo (MCMC) algorithm. The impulsive noise is modeled as the sub-Gaussian distribution, which is widely applied. Simulation results show that the blind receiver can rapidly converge, and excellent performance can be achieved.

Keywords

Gaussian noise; Markov processes; Monte Carlo methods; antenna arrays; blind source separation; receiving antennas; ELF/VLF communication systems; Gaussian noise; MCMC algorithm; Markov chain Monte Carlo algorithm; antenna array; blind receiver; extremely low-frequency-very-low-frequency; impulsive noise model; multiple antennas; subGaussian distribution; Convergence; Noise; Receiving antennas; Signal processing algorithms; Vectors; Impulsive noise; Markov chain Monte Carlo (MCMC) algorithm; mixture model; symmetric alpha-stable $(hbox{S} alpha hbox{S})$ distribution;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2013.2250535

Filename

6472312