期刊论文

中文

系统仿真学报

1004-731X

2015

27

3

662-667

10.16182/j.cnki.joss.2015.03.030

(2011GK3187):湖南省科技厅计划项目

本校为第一机构

传统双模式盲均衡算法是基于常数模进行信道均衡,均衡收敛速度慢、频带利用率不高,针对这个缺点,利用高阶正交幅度调制(QAM)信号具有多个模值,频带利用率高的特点,提出了适用于高阶QAM信号的双模式多模盲均衡算法(DMMA)和半盲均衡算法(SBEA)。其中DMMA充分利用了QAM信号的特点,采用收敛速度快,算法复杂度低的多模盲信道均衡算法为基础模式,以收敛效果更好并且修正相位偏转的多模辅助算法为第二模式;SBEA是运用DMMA均衡后的结果作为自适应均衡算法的导频数据,提高整个算法的收敛速度和精度。仿真结果表明两种算法收敛速度快、稳态误差小,并且能消除码间干扰的同时修正相位偏转,具有很好的实用性。...

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 converg...