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基于SVD算法的无线光MIMO系统的性能分析
引用本文:何健,胡艳军.基于SVD算法的无线光MIMO系统的性能分析[J].安徽大学学报(自然科学版),2007,31(3):34-37.
作者姓名:何健  胡艳军
作者单位:安徽大学,计算智能与信号处理教育部重点实验室,安徽,合肥,230039
摘    要:介绍了无线光多输入多输出(OMIMO:Wireless Optical Multiple-input Multiple-output)通信系统的基本组成,针对系统中存在背景光噪声和多址干扰对系统的影响,分别采用了基于奇异值分解(SVD)算法和迫零(ZF)检测算法来消除多址干扰,用Matlab进行了仿真,并对两种算法的仿真结果做了比较.仿真结果表明:在通信质量要求不高、信道矩阵奇异的情况下,采用SVD算法可以有效地消除多址干扰,很好地逼近ZF算法性能.

关 键 词:无线光通信  对准视线链路  奇异值分解算法  信道模型
文章编号:1003-2162(2007)03-0034-04
修稿时间:2006-09-03

Performance analysis of wireless optical MIMO communications based on SVD
HE Jian,HU Yan-jun.Performance analysis of wireless optical MIMO communications based on SVD[J].Journal of Anhui University(Natural Sciences),2007,31(3):34-37.
Authors:HE Jian  HU Yan-jun
Abstract:The Wireless Optical Multiple-input Multiple-output communication system is introduced in this paper.For the existence of ambient noise and Multi-Access Interference(MAI) in system,the Singular Value Decomposition(SVD) algorithm and Zeor-Forcing(ZF) detection algorithm are used respectively,which can eliminate the other signal interferences transmitted from other optical transmit antennas.And simulinded them by using matlab software.The numerical results show that the SVD algorithm can significantly eliminate the MAI and approach the performance of the ZF algorithm very well in the system communication quality low-required instace.
Keywords:wireless optical communication  directed-Line of Sight  SVD algorithm  channel model
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