A New Improved MCMA Blind Equalization Algorithm
Lin Wang · Journal of Hangzhou Dianzi University · 2012
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.