A novel Semi-blind Channel Estimation Algorithm for OFDM systems

被引：0

作者：

Hu Feng ^{[1
]}

Li Jianping ^{[1
]}

Cai Chaoshi ^{[1
]}

机构：

[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2009) | 2009年

关键词：

MMVE; semi-blind channel estimation; EVD; MMSE; OFDM;

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 proposes a minimum mean square error (MMSE)-based algorithm for semi-blind estimation of a complex fading channel matrix. By approximating the channel product matrices to channel autocorrelation matrix, which is gained from the covariance matrix of the received data, a novel semi-blind algorithm named MMVE (MMSE to EVD technique) is rebuilt. The eigenvalue-eigenvector decomposition (EVD) is then used to simplify the new semi-blind OFDM channel estimation approach. Simulation results show that the algorithm outperforms conventional ML algorithm with respect to the MSE by 3dB. In comparison, the proposed method also harvests better BER performances.

引用

页码：655 / 658

页数：4