Concurrent Blind Equalization Algorithm Based on Probability Density Function Matching and Fractional Lower Order Moments
MA Jitong① QIU Tianshuang① LI Rong② XIA Nan② LI Jingchun②
①(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China) ②(State Radio Monitoring Center, Beijing 100037, China)
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.
马济通,邱天爽,李蓉,夏楠,李景春. 基于概率密度函数匹配与分数低阶矩的并行盲均衡算法[J]. 电子与信息学报, 2017, 39(7): 1532-1538.
MA Jitong, QIU Tianshuang, LI Rong, XIA Nan, LI Jingchun. Concurrent Blind Equalization Algorithm Based on Probability Density Function Matching and Fractional Lower Order Moments. JEIT, 2017, 39(7): 1532-1538.
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