一种改进的MCMA盲均衡算法

A New Improved MCMA Blind Equalization Algorithm

为提高盲均衡的收敛速度、进一步降低码间干扰,该文以修正常数模算法为基础,提出了基于停止与前进算法的改进修正常数模算法。并对新算法进行了计算机仿真,结果表明:该新算法克服了常数模算法稳态误差大的缺点,纠正了常模算法存在的相位旋转问题,提高了修正常模算法收敛速度且降低了稳态误差。

In order to improve the convergence rate of blind equalization and further reduce the inter-symbol interference（ISI）,this paper presents a new blind equalization algorithm combining modified constant modulus algorithm（MCMA） with stop and go algorithm（SAG）.The simulation results demonstrate that the SAG-MCMA algorithm converges much faster and gains better ISI performance compared with constant modulus algorithm（CMA） and MCMA.Especially,the SAG-MCMA algorithm can recover an arbitrary phase shift due to channel characteristics.