基于概率密度函数匹配与分数低阶矩的并行盲均衡算法

doi:10.11999/JEIT160841

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Abstract

In order to improve the performance of the blind equalizer under impulsive noise environments, a novel concurrent blind equalization algorithm based on probability density function matching and fractional lower order moments is presented. This algorithm uses the idea of probability density function matching at the beginning, and makes full use of the advantage of its fast convergence speed. In order to solve the problems of the phase information loss and incapability of suppressing impulse noise, this paper combines the fractional lower order moments of the decision signal in parallel as the cost function to update the weight coefficients of the blind equalizer. The convergence speed and convergence precision is further improved. The simulation experiments results show that the algorithm can effectively solve the problem of phase rotation and better suppress the impulse noise. Moreover, the algorithm has fast convergence speed, small steady-state error and strong robustness.

Key words： Blind equalization Probability density function Concurrent algorithm Fractional lower order moments

Received: 15 August 2016 Published: 11 May 2017

PACS:

TN911.7

Fund:

The National Natural Science Foundation of China (61671105, 61139001, 61172108, 81241059)

Corresponding Authors: QIU Tianshuang E-mail: qiutsh@dlut.edu.cn

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	MA Jitong
	QIU Tianshuang
	LI Rong
	XIA Nan
	LI Jingchun

Cite this article:

MA Jitong,QIU Tianshuang,LI Rong等. Concurrent Blind Equalization Algorithm Based on Probability Density Function Matching and Fractional Lower Order Moments[J]. JEIT, 2017, 39(7): 1532-1538.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160841 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I7/1532

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