Time-varying Channel Estimation for OFDM Systems with Superimposed Training and Basis Expansion Model

被引：0
|
作者：
Zhang, Han [1 ]
Gao, Shan [1 ]
Zhong, Qinghua [1 ]
Dai, Xianhua [2 ]
机构：
[1] South China Normal Univ, Dept Phys & Telecommun Engn, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou, Peoples R China
来源：
2011 7TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM) | 2011年
关键词：
time-varying channel estimation; superimposed training; OFDM; basis expansion model;
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：
An approach of superimposed training (ST) aided time-varying (TV) channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems is presented. By modeling the channel as complex exponential bases, channel estimation is adopted over multiple OFDM symbols by using a sequence of data-dependent ST signal. Simulations illustrate the proposed channel estimator achieves a satisfactory estimation performance under a wide range of Doppler shift.
引用
收藏
页数：3
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