Concurrent Blind Equalization Algorithm Based on Probability Density Function Matching and Fractional Lower Order Moments

MA Jitong; QIU Tianshuang; LI Rong; XIA Nan; LI Jingchun

doi:10.11999/JEIT160841

Volume 39 Issue 7

Jul. 2017

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Article Navigation > Journal of Electronics & Information Technology > 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[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1532-1538. doi: 10.11999/JEIT160841

Citation:

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[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1532-1538. doi: 10.11999/JEIT160841

Citation:

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[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1532-1538. doi: 10.11999/JEIT160841

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Concurrent Blind Equalization Algorithm Based on Probability Density Function Matching and Fractional Lower Order Moments

doi: 10.11999/JEIT160841

1.
(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)
2.
(State Radio Monitoring Center, Beijing 100037, China)

Funds:

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

Received Date: 2016-08-15
Rev Recd Date: 2017-04-18
Publish Date: 2017-07-19

Abstract

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.
- Blind equalization,
- Probability density function,
- Concurrent algorithm,
- Fractional lower order moments

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References(20)

References

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