计算机工程与应用2011，Vol.47Issue(34)：149-151,157,4.DOI:10.3778/j.issn.1002-8331.2011.34.041
一种新的混合自适应盲均衡器
Novel hybrid adaptive blind equalizer
谢逢博1
作者信息
- 1. 南京邮电大学 自动化学院,南京 210046
- 折叠
摘要
Abstract
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Key words
blind equalization/ Constant Modulus Algorithm (CMA)/ Modified CMA (MCMA)/ Alphabet-Matched Algorithm (AMA)/QAM signal分类
信息技术与安全科学引用本文复制引用
谢逢博..一种新的混合自适应盲均衡器[J].计算机工程与应用,2011,47(34):149-151,157,4.
