Approzimate ML Deffection Based on MMSE for MIMO Systems
We derive two types of approximate maximum likelihood (ML) deffection based on minimum mean squared error (MMSE), MMSE-CML (conditional ML) deffection and MMSE-CLML (conditional local ML) deffection, for MIMO communication system. A simple reliability judge rule to judge the estimate of the transmit symbols is also given. For the proposed MMSE-CML deffection, received signals are first sent into MMSE deffector to do linear equalization, then the estimate of transmit signals is judged in reliability judge module; If the estimate is judged to be reliable, we take the estimate as the final result; if not, the received signals are then sent into conditional ML (CML) deffector to get the final result; Unlike conventional ML deffector, the CML deffector performs a tree search till the estimate satisfies the reliability judge rule or an entire tree search has been done. For the proposed MMSE-CLML deffection, we use CLML search instead of CML search in MMSE-CML, which searches in the neighborhood of the output provided by the MMSE deffector. Simulation results show that the MMSE-CML deffector achieves near the same performance as optimal CML deffector at reduced complexity, and MMSE-CLML deffector achieves suboptimal performance at remarkably reduced complexity.
Fan Wang Yong Xiong Xiumei Yang
The Electromagnetics Academy at Zhejiang University, Zhejiang University, China Shanghai Research Center for Wireless Communications, China
国际会议
Progress in Electromagnetics Research Symposium 2007(2007年电磁学研究新进展学术研讨会)(PIERS 2007)
北京
英文
879-884
2007-03-26(万方平台首次上网日期,不代表论文的发表时间)