MMSE Soft-Interference-Cancellation Aided MCMC Detection for MIMO Systems

摘要：

A novel MCMC detection algorithm in MIMO systems is proposed. The Gibbs samples are initialized through a new way after integrating the Minimum Mean Square Error soft-interference-cancellation (SIC-MMSE) algorithm and the convergence of the Markov chain is accelerated. Comparison with the conventional MCMC algorithm shows the novel algorithm performs better with equal number of Gibbs samples,that is,equal complexity. It is proved that our proposed SIC-MMSEaided MCMC algorithm has superior performance.

关键词： multiple-input multiple-output (MIMO),Monte Carlo Markov Chain (MCMC) soft-interference-cancellation (SIC) Minimum Mean Square Error (MMSE)

作者: Ke Xiao Mingchao Su Shujun Guo

作者单位: College of Information Engineering,North China University of Technology Beijing 100144,China

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 2107-2110

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）