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Impact of channel estimation error on channel capacity of multiple input multiple output system
作者姓名:王君  朱世华  王磊
作者单位:School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
基金项目:国家自然科学基金;国家高技术研究发展计划(863计划);教育部博士后科研基金
摘    要:In order to investigate the impact of channel estimation error on channel capacity of multiple input multiple output (MIMO) system, a novel method is proposed to explore the channel capacity in correlated Rayleigh fading environment. A system model is constructed based on the channel estimation error at receiver side. Using the properties of Wishart distribution, the lower bound of the channel capacity is derived when the MIMO channel is of full rank. Then a method is proposed to select the optimum set of transmit antennas based on the lower bound of the mean channel capacity. The novel method can be easily implemented with low computational complexity. The simulation results show that the channel capacity of MIMO system is sensitive to channel estimation error, and is maximized when the signal-to- noise ratio increases to a certain point. Proper selection of transmit antennas can increase the channel capacity of MIMO system by about 1 bit/s in a flat fading environment with deficient rank of channel matrix.

关 键 词:多输入多输出系统  通路容量  通信信道  信道估计错误  天线
文章编号:1671-8259(2007)02-0131-04

Impact of channel estimation error on channel capacity of multiple input multiple output system
Wang Jun,Zhu Shihua,Wang Lei.Impact of channel estimation error on channel capacity of multiple input multiple output system[J].Academic Journal of Xi’an Jiaotong University,2007,19(2):131-134,148.
Authors:Wang Jun  Zhu Shihua  Wang Lei
Abstract:In order to investigate the impact of channel estimation error on channel capacity of multiple input multiple output (MIMO) system, a novel method is proposed to explore the channel capacity in correlated Rayleigh fading environment. A system model is constructed based on the channel estimation error at receiver side. Using the properties of Wishart distribution, the lower bound of the channel capacity is derived when the MIMO channel is of full rank. Then a method is proposed to select the optimum set of transmit antennas based on the lower bound of the mean channel capacity. The novel method can be easily implemented with low computational complexity. The simulation results show that the channel capacity of MIMO system is sensitive to channel estimation error, and is maximized when the signal-to-noise ratio increases to a certain point. Proper selection of transmit antennas can increase the channel capacity of MIMO system by about 1 bit/s in a flat fading environment with deficient rank of channel matrix.
Keywords:Multiple Input Multiple Output  channel capacity  spatial correlation  antenna selection
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