Time-varying Channel Estimation for MIMO/OFDM Systems Using Superimposed Training

被引：0
|
作者：
Zhang, Han [1 ]
Dai, Xianhua [1 ]
Li, Dong [1 ]
机构：
[1] Sun Yat Sen Univ, Dept Elect Engn, Guangzhou, Guangdong, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
channel estimation; MIMO/OFDM; superimposed training;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper deals with the problem of time-varying (TV) channel estimation for multiple-input multiple-output/orthogonal frequency-division multiplexing (MIMO/OFDM) systems based on superimposed training (94 The time-varying coefficients of the W channel are firstly modeled by truncated discrete Fourier bases, and then optimally estimated both in one OFDM symbols and over multiple OFDM symbols by judiciously designing the superimposed pilots. In addition an Iterative symbol detection based channel estimation scheme with analytical performance analysis, is provided to mitigate the interference due to the unknown information sequences (thus to further improve channel estimation performance as well as SER levels). Simulations confirm that the proposed estimator achieves a considerable gain In estimating TV channels, and exhibits a nearly indistinguishable symbol error rate performance from die OFDM systems of frequency-division multiplexed trainings.
引用
收藏
页码：620 / 625
页数：6
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