Minimum variance unbiased estimation of frequency offset in OFDM systems, a blind synchronization approach

Navid Lashkarian, Sayfe Kiaei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We present a novel blind synchronization method for carrier frequency offset estimation of orthogonal frequency division modulation (OFDM) systems. The proposed approach exploits the properties of cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. Using Neyman-Fisher factorization theorem, the sufficient statistic for estimation of carrier frequency offset is identified. The resulting statistic, when applied to the Rao-Blackwell-Lehmann-Scheffe (RBLS) theorem, results in a robust minimum variance unbiased (MVU) estimate of the synchronization parameter. Statistical and closed loop performance of the estimator is analyzed and assessed by simulation for an OFDM system.

Original languageEnglish (US)
Title of host publicationCommunicationsSensor Array and Multichannel Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2945-2948
Number of pages4
ISBN (Electronic)0780362934
DOIs
StatePublished - Jan 1 2000
Externally publishedYes
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: Jun 5 2000Jun 9 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period6/5/006/9/00

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Lashkarian, N., & Kiaei, S. (2000). Minimum variance unbiased estimation of frequency offset in OFDM systems, a blind synchronization approach. In CommunicationsSensor Array and Multichannel Signal Processing (pp. 2945-2948). [861151] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.861151