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协作空分复用CSM系统中的信道估计算法研究
引用本文:夏山春,张捷.协作空分复用CSM系统中的信道估计算法研究[J].信息安全与通信保密,2009(7):67-69.
作者姓名:夏山春  张捷
作者单位:西北工业大学电子信息学院,陕西,西安,710129
摘    要:文章就当前MIMO应用过程中终端多天线受限制问题,阐述了单天线终端协作与基站组成虚拟MIMO多天线阵列——基于OFDMA的CSM协作空分复用系统结构。同时,提出对OFDMA系统中时频二维的资源进行分“块”独立进行信道估计,简化了OFDMA系统信道估计模型的复杂度。然后从应用的角度对比分析了基于OFDMA的CSM系统的信道估计算法LS和MMSE两种算法性能与优缺点。通过在PB3信道模型中仿真,得出适用于慢变信道的平滑滤波后的LS信道估计算法。

关 键 词:协作空分复用  信道估计  最小平方估计  最小均方误差估计

Channel Estimation Algorithms in Collaborative Spatial Multiplexing System
XIA Shan-chun,ZHANG Jie.Channel Estimation Algorithms in Collaborative Spatial Multiplexing System[J].China Information Security,2009(7):67-69.
Authors:XIA Shan-chun  ZHANG Jie
Affiliation:(College of Electronics and Information, Northwestern Polytechnical University, Xi'an Shaanxi 710129, China)
Abstract:Limited by its size and transmit power, MIMO application on the subscriber station(MS) has become very difficult. This paper firs tells of a collaborative spatial multiplexing system(CSM) Two single Tx antenna MSs per-form collaborative spatial multiplexing onto the same subcarrier, composed with a two Rx antennas BS as a 2×2 multi antenna array based on OFDMA. Then proposes a new channel estimation algorithm, which divides OFDMA time-frequency 2-D resource into "blocks", each for a independent channel estimation, thus greatly reducing the complexity of channel estimation model. By Comparing the performances of LS and MMSE estimation algorithms in Pedestrian Channel B rnodel, an efficient smoothly filtered LS channel estimation method suitable for slow-varying channel is obtained.
Keywords:CSM(collaborative spatial multiplex)  channel estimation  LS  MMSE
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