Iterative Frequency Offset Estimation Based on ML Criterion for OFDM Systems

Masahiro FUJII  Masaya ITO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E100-A   No.12   pp.2732-2737
Publication Date: 2017/12/01
Online ISSN: 1745-1337
Type of Manuscript: Special Section LETTER (Special Section on Information Theory and Its Applications)
Category: Communication Theory and Systems
Keyword: 
frequency offset,  orthogonal frequency division multiplexing,  maximum likelihood,  iteration,  and mean squared error,  

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Summary: 
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.