摘要
针对恒模算法(CMA)收敛速度较慢、收敛后均方误差较大的缺点,提出一种新的双模式盲均衡算法.在算法初期,利用能快速收敛的归一化恒模算法(NCMA)进行冷启动,在算法收敛后切换到判决引导(DD-LMS)算法,减少误码率.计算机仿真表明,提出的新算法有较快的收敛速度和较低的误码率.
Aiming at the lower convergence rate and larger mean square error （MSE）of the constant modulus algorithm（CMA）, a new dual mode blind equalization algorithm is proposed in this paper. In the beginning of algorithm, normalized constant modulus algorithm （NCMA） which is a fast-convergence algorithm is used for cold start. When the algorithm is converged, the algorithm switches decision directed algorithm to lessen the bit error rate （BER）. Simulation results show that the new algorithm has faster convergence rate and lower bit error rate,
出处
《数学的实践与认识》
CSCD
北大核心
2010年第9期99-103,共5页
Mathematics in Practice and Theory
关键词
恒模算法
盲均衡
归一化恒模算法
双模式
constant modulus algorithm
blind equalization
normalized constant modulusalgorithm
dual mode
