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CLC number: TN929.5

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Received: 2006-02-26

Revision Accepted: 2006-09-03

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.12 P.2104-2109


A high performance frequency offset estimator for OFDM

Author(s):  WU Yun, LUO Han-wen, DING Ming, YAN Chong-guang

Affiliation(s):  Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   wuyun_hit@sjtu.edu.cn

Key Words:  OFDM, Frequency offset estimation, Preamble, Chinese residues theorem

WU Yun, LUO Han-wen, DING Ming, YAN Chong-guang. A high performance frequency offset estimator for OFDM[J]. Journal of Zhejiang University Science A, 2006, 7(12): 2104-2109.

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journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T A high performance frequency offset estimator for OFDM
%A WU Yun
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%A DING Ming
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%DOI 10.1631/jzus.2006.A2104

T1 - A high performance frequency offset estimator for OFDM
A1 - WU Yun
A1 - LUO Han-wen
A1 - DING Ming
A1 - YAN Chong-guang
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 12
SP - 2104
EP - 2109
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A2104

This paper proposes a simple method to enlarge the estimation range of conventional carrier frequency offset (CFO) estimation methods based on correlations among the identical parts of the preamble. A novel preamble is designed, which is composed of one regular OFDM training block with even numbers of identical parts and one irregular OFDM training block with odd numbers of identical parts. The initial estimates obtained over the two training blocks are next exploited to jointly estimate the CFO. By elaborately selecting the numbers of identical parts for the two training blocks, the proposed CFO estimator can estimate frequency offset over tens of the subcarrier spacing. Simulation results showed that the proposed CFO estimator satisfies the estimate range requirement for the practical OFDM systems, while achieving a very good estimate performance.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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