首页 | 本学科首页   官方微博 | 高级检索  
     

基于BLAST接收机的空间复用天线选择算法
引用本文:方勇,朱耀麟. 基于BLAST接收机的空间复用天线选择算法[J]. 上海大学学报(英文版), 2006, 10(1): 20-24. DOI: 10.1007/s11741-006-0100-z
作者姓名:方勇  朱耀麟
作者单位:School of Communication and Information Engineering Shanghai University,Shanghai 200072 P.R. China,School of Communication and Information Engineering Shanghai University,Shanghai 200072 P.R. China
基金项目:中国科学院资助项目;上海市领先专业学科基金
摘    要:1IntroductionMultiple-input multiple-output(MIMO)systems canoffer significant capacity gains,compared to single-input single-output(SISO)systems.The extra degreesof freedom offered by multiple antennas can be usedfor increasing bit rates through spatial m…

关 键 词:BLAST接收机 空间多路复用系统 天线选择算法 信噪比 多输入多输出系统 曲线拟合
文章编号:1007-6417(2006)01-0020-05
收稿时间:2005-09-01

An antenna selection algorithm for spatial multiplexing systems in BLAST receiver
Fang Yong,Zhu Yao-lin. An antenna selection algorithm for spatial multiplexing systems in BLAST receiver[J]. Journal of Shanghai University(English Edition), 2006, 10(1): 20-24. DOI: 10.1007/s11741-006-0100-z
Authors:Fang Yong  Zhu Yao-lin
Affiliation:School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P.R. China
Abstract:In this paper, the antenna selection problem for spatial multiplexing systems in a BLAST receiver is investigated. In order to search the optimal antenna subset, a selection criterion is proposed, which is able to obtain the largest minimum post-detection SNR. The number of required antennas is deduced, which is determined by the system performance requirement for the existing RF chains. Simulation result shows that the optimal subset in a BLAST receiver has higher minimum sub-channel SNR than that in a ZF receiver. Computation of system performance can be fitted to a simple function, and it is simpler for the proposed algorithm to compute the required antenna number.
Keywords:antenna selection   Bell Labs layered space-time(BLAST)   curve fitting.
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号