Because the general Markov Chain Monte Carlo(MCMC) method is easily to get trapped in some fixed state especially in the case of high SNR condition or iteration process that leads to performance degradation, in this paper, an improved MCMC algorithm is presented. Determining the initial sample value based on MMSE principle, the Markov chain is convergent rapidly. Simulation results show that the mentioned algorithm can improve the BER performance and reduce computational complexity.