Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks

被引：0

作者：

Gongpu Wang

Feifei Gao

Xin Zhang

Chintha Tellambura

机构：

[1] University of Alberta,Department of Electrical and Computer Engineering

[2] Jacobs University,School of Engineering and Science

[3] Beijing University of Posts and Telecommunications,School of Information and Communication Engineering

来源：

EURASIP Journal on Wireless Communications and Networking | / 2010卷

关键词：

Mean Square Error; Carrier Frequency; Channel Estimation; Estimation Accuracy; Carrier Frequency Offset;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Joint carrier frequency offset (CFO) and channel estimation is considered for two-way relay networks (TWRNs). Existing estimators provide only the convolved channel parameters and the mixed CFO values. In contrast, estimators using a superimposed training strategy are developed for the individual frequency and channel parameters. Depending on the number of pilots, three different estimators are developed. An iterative estimator with low complexity is also developed to further improve the estimation accuracy. The Cramér-Rao Bounds (CRBs) are derived. The simulations show that the iterative estimator converges rapidly, and the resultant estimation mean square error (MSE) approaches the CRB. For the special case of small CFO between the two source terminals, the MSE achieves the CRB at high SNRs, and the iterative algorithm is not necessary. However, for the general case, the gap between the MSE and the CRB indicates that there is room for further improvement of the estimation accuracy.

引用