一种新的混合自适应盲均衡器  

Novel hybrid adaptive blind equalizer

作　　者：谢逢博[1] 

机构地区：[1]南京邮电大学自动化学院,南京210046

出　　处：《计算机工程与应用》2011年第34期149-151,157,共4页Computer Engineering and Applications

摘　　要：提出了一种基于QAM信号的新的混合自适应盲均衡算法。结合了MCMA算法以及AMA算法的优点,通过设置自适应遗忘因子λ,用来自适应加权两类独立代价函数,一类是MCMA的代价函数,另一类是AMA的代价函数。通过搭建QAM盲均衡系统平台,仿真结果表明,提出的算法相比于CMA、MCMA和CMA/AMA算法,有效地降低了稳态误差和误码率,并具有良好的收敛速度,大大提高了系统的性能。This paper proposes a novel hybrid adaptive blind equalization algorithm for QAM signal.The proposed algorithm combines the advantages of Modified CMA（MCMA） and the Alphabet-Matched Algorithm（AMA）,based on setting adaptive forgetting factor λ ,the cost function is adaptively weighted sum of two separate well-defined cost functions;one is identical to the MCMA case,and the other corresponds to the AMA case.The novel algorithm is proposed and studied,and compared with other three CMA algorithm based on a blind equalization of QAM system.The simulation results show that the proposed algorithm effectively reduces the steady-state error and symbol error rate,and has better convergence rate,which greatly improves the performance of the system.

关 键 词：盲均衡 恒模算法(CMA) 修正恒模算法(MCMA) 字符匹配算法(AMA) QAM信号 

分 类 号：TN911.5[电子电信—通信与信息系统]