MIMO系统中基于野值剔除的最大多普勒频移估计  

Maximum Doppler Shift Estimation Based on Illegal Data Elimination in MIMO Systems

作　　者：徐瑨[1] 陶小峰[1] 张静[1] 韩娟[1] 张平[1] 

机构地区：[1]北京邮电大学电信工程学院

出　　处：《北京邮电大学学报》2007年第1期53-57,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(60496312);新世纪优秀人才支持计划(05-0116);Siemens合作项目

摘　　要：针对多入多出(MIMO)系统中的最大多普勒频移估计,运用单因素试验的方差分析法对多组估计值进行建模和假设检验,提出了基于最大距离判决和置换均值原则的野值剔除方法.研究表明,该方法可以有效检测并删除估计值中的不合理数据,提高MIMO系统中最大多普勒频移估计的精度.For maximum Doppler shift estimation in multi-input multi-output （MIMO） systems, the single-factor analysis of variance was applied to establish mathematical model and perform hypotheses testing for estimated values. Furthermore, a novel scheme for illegal data elimination was proposed based on the principle of maximum distance judgment and mean value replacement. Theoretical analysis and simulation results proved that the proposed scheme could detect and eliminate illegal data effectively and improve the accuracy of maximum Doppler shift estimation in MIMO systems.

关 键 词：多入多出系统 最大多普勒频移估计 单因素试验的方差分析 野值剔除 

分 类 号：TN929.53[电子电信—通信与信息系统]