高技术通讯2016，Vol.26Issue(6)：528-533,6.DOI:10.3772/j.issn.1002-0470.2016.06.002
基于差分进化的时变信道最大似然估计算法
An algorithm for maximum-likelihood estimation of time-varying channels based on differential evolution
摘要
Abstract
The estimation of the communication channels in tunnel environment was studied, and a new maximum-likeli-hood ( ML) channel estimation algorithm using the cellular differential evolution ( DE) algorithm to achieve the re-al-time estimation of the effective length of time-varying channels was designed to deal with the rapid changing wire-less transmission channels under the tunnel environment.The algorithm is simplified as the DE-ML algorithm.The simulation results show that the proposed algorithm can effectively track the effective channel length to improve the estimation accuracy by the differential evolution algorithm.And its estimation performance outperforms the classic channel estimation algorithms such as least square ( LS) , linear minimum mean square error ( LMMSE) and tradi-tional ML, etc.The proposed algorithm can offer high transmission efficiency and excellent estimation performance especially at time-varying channels.关键词
信道估计,时变信道,差分进化,有效信道长度,最大似然(/ML)估计Key words
channel estimation/time-varying channel/differential evolution/length of effective channel/maximum-likelihood ( ML) estimation引用本文复制引用
丁青锋,邱翔..基于差分进化的时变信道最大似然估计算法[J].高技术通讯,2016,26(6):528-533,6.基金项目
国家自然科学基金(61501186,51267005)和江西省教育厅科学基金(GJJ150491)资助项目. （61501186,51267005）
