A robust adaptive weighted constant modulus algorithm for blind equalization of wireless communications systems under impulsive noise environment

A robust adaptive weighted constant modulus algorithm is proposed for blind equalization of wireless communication systems under impulsive noise environment. The influence of the impulsive noise is analyzed based on numerical analysis method. Then an adaptive weighted constant modulus algorithm is c...

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Bibliographic Details
Published in:International journal of electronics and communications Vol. 83; pp. 150 - 155
Main Authors: Li, Jin, Feng, Da-Zheng, Li, Bingbing
Format: Journal Article
Language:English
Published: Elsevier GmbH 01.01.2018
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ISSN:1434-8411, 1618-0399
Online Access:Get full text
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Summary:A robust adaptive weighted constant modulus algorithm is proposed for blind equalization of wireless communication systems under impulsive noise environment. The influence of the impulsive noise is analyzed based on numerical analysis method. Then an adaptive weighted constant modulus algorithm is constructed to adaptively suppress impulsive noise. Theoretical analysis is provided to illustrate that the proposed algorithm has a robust equalization performance since the impulsive noise is adaptively suppressed. Moreover, the proposed algorithm has stable and quick convergence due to avoidance of large misadjuntment and adoption of large step size. Simulation results are presented to show the robust equalization performance and the fast convergence speed of the proposed algorithm under both impulsive noise and Gaussian noise environments.
ISSN:1434-8411
1618-0399
DOI:10.1016/j.aeue.2017.08.036