Research and Simulation of Equalization Algorithm Suitable for High-Order QAM Signals

Authors

Wang Yan, College of Electrical Engineering, Nanhua University, Hengyang 421001, China;
Shen Pan, College of Electrical Engineering, Nanhua University, Hengyang 421001, China;
Wang Chao, College of Electrical Engineering, Nanhua University, Hengyang 421001, China;

Abstract

Abstract: Traditional dual-mode blind equalization algorithm is based on constant modulus channel equalization, its convergence is slow, and it has a low efficiency of bandwidth. For overcoming its shortcoming, two blind equalization algorithms suitable for high-order QAM signals were proposed. These are double mode multi-module equalization algorithm (DMMA) and semi-blind equalization algorithm (SBEA). DMMA used multi-module equalization algorithm as first mode and multi-module assistant equalization algorithm as second mode, both modes simultaneously equalized the signal. For achieving a fastest convergence and lowest error rate, DMMA's result was regard as the pilot data for least mean square algorithm (LMS), which is called SBEA. Simulation results show that the two algorithms have a superior performance by increasing the convergence rate and decreasing the steady mean square error.

Recommended Citation

Yan, Wang; Pan, Shen; and Chao, Wang (2020) "Research and Simulation of Equalization Algorithm Suitable for High-Order QAM Signals," Journal of System Simulation: Vol. 27: Iss. 3, Article 30.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss3/30

First Page

662

Revised Date

2014-08-09

DOI Link

https://doi.org/

Last Page

667

CLC

TN914

Recommended Citation

Wang Yan, Shen Pan, Wang Chao. Research and Simulation of Equalization Algorithm Suitable for High-Order QAM Signals[J]. Journal of System Simulation, 2015, 27(3): 662-667.