摘要
在MIMO系统中,当假设发送端和接收端已知完美信道状态信息的情况下,均匀信道分解(UCD)被证明在误码率性能上是最优的且是容量无损的.然而在实际系统中,接收端或发送端获得的信道信息通常存在着一定的估计误差.本文提出一种基于有限反馈的鲁棒性均匀信道分解方案,在设计方案中充分考虑了信道估计误差的影响,并利用香农率失真定理和广义Lloyd矢量量化算法(GLA)得到了信道估计误差的近似值,使得本文提出的方案有很好的实用性.仿真结果表明与传统均匀信道分解方案相比,本文提出的鲁棒性均匀信道分解方案有效地降低了系统的误码平层,提高了系统容量.
In MIMO systems,uniform channel decomposition（UCD） has been proven to be optimal in BER performance and strictly capacity lossless when perfect channel state information（CSI） is assumed to be available at both the transmitter and receiver side.However,in practice,CSI is always contaminated by channel estimation error.In this paper,we proposed a novel robust UCD scheme based on limited feedback,which consider channel estimation error as an integral part of the system design.Using Shannon rate-distortion theory and generalized Lloyd vector quantization algorithm（GLA）,we obtain approximate channel estimation error which enhances the practicability of our proposed algorithm.It is shown in the simulation results that our proposed robust UCD scheme is capable of improving the BER ceiling and capacity performance compared with the conventional UCD scheme.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第10期2400-2404,2388,共6页
Acta Electronica Sinica
基金
国家杰出青年科学基金(No.60725105)
国家973重点基础研究发展计划(No.2009CB320404)
长江学者和创新团队发计划(No.IRT0852)
国家863高技术研究发展计划(No.2007AA01Z288)
中央高校基本科研业条费专项资金(No.JY10000901030)
关键词
多输入多输出
鲁棒性
均匀信道分解
有限反馈
MIMO
robust design
uniform channel decomposition（UCD）
limited feedback
