一种新的修正步长盲均衡算法

New Modified Step-size Blind Equalization Algorithm

针对MCMA算法收敛速度与稳态误差相矛盾的问题,通过构造新的误差函数,并建立误差函数与步长因子之间的非线性函数关系,在MCMA算法基础上,提出了一种新的修正步长盲均衡算法(MS-MCMA)。该算法在增加收敛速度的同时,稳态误差性能也得到了改善。仿真结果表明,新算法的收敛速度相比较于ME-MCMA和DMSign-CMA提高了一倍以上;当SNR=30dB时,新算法稳态误差性能大约有5dB改善,而当SNR=15dB时,其稳态误差性能也有0.5dB改善。

Constructing a kind of new error function and building a nonlinear function between the step-size factor and the error function,a novel modified step-size blind equalization algorithm（MS-MCMA） was proposed based on modified constant modulus algorithm（MCMA） to resolve the contradiction between MCMA＇s convergence speed and steady-state error.This algorithm could simultaneously improve convergence speed and steady-state error performance.Simulation results indicate that the convergence speed of the proposed algorithm increases by more than 100% comparing with ME-MCMA and DMSign-CMA,at the same time,the steady-state error performance of the proposed algorithm has been improved 5dB and 0.5 dB respectively when SNR is 30dB and 15dB.