Journal of Applied Science and Engineering

Published by Tamkang University Press

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Shu-Han Liao1, Min-Hui Ho1, Rainfield Y. Yen This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Hong-Yu Liu2

1Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.
2Department of Electrical Engineering, Fu Jen Catholic University, Xinzhuang, Taiwan 242, R.O.C.


 

Received: October 3, 2012
Accepted: June 1, 2013
Publication Date: December 1, 2013

Download Citation: ||https://doi.org/10.6180/jase.2013.16.4.06  


ABSTRACT


We present techniques of using repeated training blocks for maximum-likelihood (ML) and least-squares (LS) based channel estimation of orthogonal frequency division multiplexing (OFDM) systems over slow quasi-static fading channels. Both frequency-selective and frequency-nonselective channels are considered. Explicit analytical expressions of channel estimators and the corresponding estimator mean square errors (MSEs) are derived for both ML and LS estimations. For the ML channel estimators, closed-form expressions of Cramer-Rao lower bounds (CRLBs) are also obtained to compare with the MSEs. Both theoretical and numerical results are presented and compared.


Keywords: Orthogonal Frequency Division Multiplexing, Maximum-Likelihood Estimation, Least-Squares Estimation, Cramer-Rao Lower Bound


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