Low-complexity Kalman filter-based carrier frequency offset estimation and tracking for OFDM systems

Mahmoud Ashour, Amr El-Keyi, Ahmed Sultan

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

2 Scopus citations

Abstract

In this paper, an iterative blind estimator for fractional carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is proposed. The estimator utilizes the null subcarriers transmitted at the edge of the spectrum and does not require any training. In addition, the proposed estimator does not require any prior knowledge of the frequency response of the channel. The problem is formulated using a state-space model, and an extended Kalman filter (EKF) is employed to estimate the CFO iteratively. Simulation results illustrate the enhanced ability of the proposed algorithm, relative to the existing approaches, to estimate and track the CFO even in the presence of high Doppler. © 2013 IEEE.
Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages4923-4927
Number of pages5
DOIs
StatePublished - Oct 18 2013
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-22

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