摘要
利用恒模均衡器与维纳均衡器之间的关系,在Lang Tong等人提出CSR CMA的基础上,使用了一种新的初始化方法,对传统的恒模算法(CMA)进行了改进,使其可以在线自适应调整其初始权值,从而可以改善恒模算法的收敛性能,并防止恒模算法的误收敛。计算机仿真试验验证了改进算法优良的收敛性能。
Based on the CSR CMA(Channel Surfing Reinitialization CMA) proposed by Lang Tong etc,this paper uses a new reinitialization scheme for CMA by exploiting the connections between the constant modulus and wiener equalizers to improve the traditonal CMA.The proposed algorithm can online adaptive adjust its initialization coefficients to improve its convergence performance and preventing its ill convergence.The convergence performance of the proposed algorithm is illustrated by computer simulations.
出处
《太原理工大学学报》
CAS
北大核心
2005年第3期310-312,316,共4页
Journal of Taiyuan University of Technology
关键词
盲均衡
恒模算法
维纳均衡器
初始化
blind equalization
CMA
wiener equlization
initialization
