一种基于stop-and-go改进的MCMA盲均衡算法

摘要

修正的常数模算法(MCMA)可以纠正相位旋转,但剩余稳态误差较大.在stop-and-go架构的基础上,提出了基于stop-and-go改进的MCMA算法.首先将局部信息量引入MCMA的误差函数,然后运用stop-and-go减少错误均衡的思想,使算法的均衡方向与MCMA保持一致,以降低剩余稳态误差.仿真结果表明,基于stop-and-go改进的MCMA盲均衡算法在保证了收敛速度的同时,码间干扰比MCMA算法降低了10 dB.%Although the modified constant modulus algorithm(MCMA) can correct the phase rotation,it is bothered by relatively high steady-state mean square error(MSE).In this paper,an improved MCMA blind equalization algorithm which incorporates a stop-and-go technique is proposed.First,a new error control function is obtained by introduction of the local information.Then,the idea of reducing wrong equalizations in stop-and-go algorithm is used to further lower MSE through synchronizing the direction of the new algorithm with MCMA.The simulation results demonstrate that the proposed algorithm not only have the same convergence rate,also lower the inter-symbol interference by 10 dB compared with MCMA.