Performance Analysis and Training Power Allocation for Channel Estimation of MIMO/OFDM Systems Using Superimposed Training

被引：0
|
作者：
Zhang, Han [1 ]
Dai, Xianhua [2 ]
机构：
[1] S China Normal Univ, Dept Phys & Telecommun Engn, Guangzhou, Guangdong, Peoples R China
[2] S China Normal Univ, Dept Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
channel estimation; MIMO/OFDM systems; superimposed training; training power allocation; OFDM SYSTEMS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the problem of channel estimation for multiple-input multiple-output / orthogonal frequency-division multiplexing (MIMO/OFDM) systems based on superimposed training (ST). Channel coefficients are firstly estimated by judicious designing superimposed pilot sequences across different users. Then, we analyze the channel estimation performance and derive a closed-form expression for estimation variance. For wireless communications with a limited power, we optimize the ST power allocation by maximizing the lower bound of the average channel capacity. Illustrative simulation examples are provided.
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页数：4
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