Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems

Masahiro FUJII; Masaya ITO

doi:10.1587/transfun.E100.A.2732

Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems

Masahiro FUJII, Masaya ITO

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In this letter, we analyze performances of a frequency offset estimation based on the maximum likelihood criterion and provide a theoretical proof that the mean squared error of the estimation grows with increase in the offset. Moreover, we propose a new iterative offset estimation method based on the analysis. By computer simulations, we show that the proposed estimator can achieve the lowest estimation error after a few iterations.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.12 pp.2732-2737

Publication Date: 2017/12/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.2732

Type of Manuscript: Special Section LETTER (Special Section on Information Theory and Its Applications)

Category: Communication Theory and Systems

Authors

Masahiro FUJII
Utsunomiya University
Masaya ITO
Utsunomiya University

Keyword

frequency offset, orthogonal frequency division multiplexing, maximum likelihood, iteration, and mean squared error

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Masahiro FUJII, Masaya ITO, "Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 12, pp. 2732-2737, December 2017, doi: 10.1587/transfun.E100.A.2732.
Abstract: In this letter, we analyze performances of a frequency offset estimation based on the maximum likelihood criterion and provide a theoretical proof that the mean squared error of the estimation grows with increase in the offset. Moreover, we propose a new iterative offset estimation method based on the analysis. By computer simulations, we show that the proposed estimator can achieve the lowest estimation error after a few iterations.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2732/_p

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@ARTICLE{e100-a_12_2732,
author={Masahiro FUJII, Masaya ITO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems},
year={2017},
volume={E100-A},
number={12},
pages={2732-2737},
abstract={In this letter, we analyze performances of a frequency offset estimation based on the maximum likelihood criterion and provide a theoretical proof that the mean squared error of the estimation grows with increase in the offset. Moreover, we propose a new iterative offset estimation method based on the analysis. By computer simulations, we show that the proposed estimator can achieve the lowest estimation error after a few iterations.},
keywords={},
doi={10.1587/transfun.E100.A.2732},
ISSN={1745-1337},
month={December},}

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TY - JOUR
TI - Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2732
EP - 2737
AU - Masahiro FUJII
AU - Masaya ITO
PY - 2017
DO - 10.1587/transfun.E100.A.2732
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - In this letter, we analyze performances of a frequency offset estimation based on the maximum likelihood criterion and provide a theoretical proof that the mean squared error of the estimation grows with increase in the offset. Moreover, we propose a new iterative offset estimation method based on the analysis. By computer simulations, we show that the proposed estimator can achieve the lowest estimation error after a few iterations.
ER -