ML-based estimator for integer frequency offset estimation of OFDM systems

Author

Chen, Chen ; Li, Jiandong ; Zhao, Linjing ; Niu, Jun

Author_Institution

Broadband Wireless Commun. Lab., Xidian Univ., Xi´´an, China

fYear

2004

fDate

14-15 May 2004

Firstpage

27

Lastpage

30

Abstract

A novel estimator for integer frequency offset estimation of OFDM systems is derived, which is based on the maximum likelihood (ML) technique and exploits the differential information between two consecutive blocks of OFDM data symbols in the frequency domain. The reason why the ML estimator has better performance than the conventional method is analyzed. How to select the differential sequence is also studied. By computer simulations, the performance of the ML estimator is compared with that of the conventional method for the additive white Gaussian noise (AWGN) channel and the multipath fading channel. The simulation results are in good agreement with the analytical study.

Keywords

AWGN channels; OFDM modulation; fading channels; frequency estimation; maximum likelihood estimation; multipath channels; AWGN channel; ML estimator; OFDM systems; additive white Gaussian noise channel; differential information; frequency domain; integer frequency offset estimation; maximum likelihood estimator; multipath channel; multipath fading channel; AWGN; Additive white noise; Computational modeling; Computer simulation; Fading; Frequency domain analysis; Frequency estimation; Maximum likelihood estimation; OFDM; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Telecommunications Symposium, 2004

Print_ISBN

0-7803-8246-3

Type

conf

DOI

10.1109/WTS.2004.1319548

Filename

1319548