电子科技大学学报2017，Vol.46Issue(1)：1-8,8.DOI:10.3969/j.issn.1001-0548.2017.01.001
基于Max-Log更新的马尔科夫链蒙特卡洛MIMO检测增强算法
An Enhanced MCMC Algorithm for MIMO Systems Based on Max-Log Updating
摘要
Abstract
In this paper, an enhanced Markov chain Monte Carlo (MCMC) algorithm based on max-log updating is proposed for multiple input multiple output (MIMO) system. The max-log updating can generate the list vectors to simply the complexity of the calculation of the extrinsic log-likelihood ratios (LLRs) efficiently. Meanwhile, it avoids calculating probability distribution per bit in conventional MCMC. However, the proposed MCMC detection suffers from the so called"stalling"problem, where the Markov chain may be trapped into local optimal state. Thus, we also propose three enhancement technologies:1) biased processing, i.e., updating randomly in a given biased interval;2) reinitialized processing, i.e., reinitialize the Markov chain under the sub-optimal states;3) clipped processing, i.e., reprocessing the LLR with clipping. Simulation results show that the proposed algorithm can remedy the “stalling” problem efficiently with reduced complexity, and can achieve 2 dB performance gains with 10%less complexity than MMSE-PIC.关键词
抖动处理/修剪饱和/Max-Log更新/MCMC/条件下重新初始化Key words
biased processing/LLR clipping/Max-Log updating/MCMC/reinitialized processing分类
信息技术与安全科学引用本文复制引用
胡剑浩,周将运,何帅宁,陈杰男..基于Max-Log更新的马尔科夫链蒙特卡洛MIMO检测增强算法[J].电子科技大学学报,2017,46(1):1-8,8.基金项目
国家自然科学基金(6150010678,61371104) （6150010678,61371104）
