摘要
设计了一种适用于高阶QAM系统的双模式盲均衡算法,以具有冷启动能力的改进恒模算法(MCMA)作为基础模式,以稳态误差小的多模辅助算法(MAMA)作为辅助模式。MCMA始终对接收信号进行均衡,当正确判决概率较大时,MCMA再联合MAMA同时对抽头系数进行更新。以64QAM信号为研究对象进行信道均衡仿真。结果表明,该算法能提高收敛速度,有效减少稳态误差。
A dual-mode blind equalization algorithm suitable for high-order QAM system is designed. The algorithm uses the modified constant modulus algorithm （MCMA） with cold start ability as basic mode, and multi-modulus assisted algorithm （MAMA） wilh small residual error as assistant mode. The received signals are always equalized by MCMA. The equalizer tap coefficients are updated by MCMA and MAMA concurrently when the probability of correct judgments is high. Channel equalization simulation uses 64QAM signals, results show the algorithm has faster convergence rate and smaller steady-state error.
出处
《电子技术应用》
北大核心
2011年第2期110-112,115,共4页
Application of Electronic Technique
基金
重庆市自然科学基金重点项目(CSTC2009BA2064)
国家211工程创新人才培养计划(S-09102)资助
关键词
盲均衡
改进恒模算法
多模辅助算法
双模式
blind equalization
modified constant modulus algorithm
muhi-modulus assisted algorithm
dual-mode
