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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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A high performance frequency offset estimator for OFDM
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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.
@article{title="A high performance frequency offset estimator for OFDM",
author="WU Yun, LUO Han-wen, DING Ming, YAN Chong-guang",
journal="Journal of Zhejiang University Science A",
volume="7",
number="12",
pages="2104-2109",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A2104"
}
%0 Journal Article
%T A high performance frequency offset estimator for OFDM
%A WU Yun
%A LUO Han-wen
%A DING Ming
%A YAN Chong-guang
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 12
%P 2104-2109
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A2104
TY - JOUR
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
ER -
DOI - 10.1631/jzus.2006.A2104
Abstract: 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.
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