A carrier frequency offset estimation scheme based on a scalar extended Kalman filter for uplink OFDM systems

Xiang Nian Zeng, Ali Ghrayeb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper proposes an extended Kalman filter (EKF)-based and training symbol aided carrier frequency off-set (CFO) estimation scheme for the uplink OFDM systems. Typically, in EKF-based estimation scheme, the measurement equation is a function of the CFO and channel coefficients. Therefore, a vector EKF has to be employed to estimate all the unknowns, which may sometime result in convergence problems. To avoid these problems, the proposed scheme uses a scalar EKF. The user signals are first separated by using multiple-access interference cancellation. Then, the unknown channel coefficients in the measurement equation are replaced with a non-linear function of the CFO so that the scalar EKF can be employed. The observation noise power is analyzed and its approximation is used in the EKF algorithm. Several numerical examples are presented to validate the efficacy of the proposed scheme. It is shown that the proposed scheme can achieve the Cramer-Rao lower bound (CRLB) when the number of users is small, whereas it degrades when the number of users increases. We also compare its computational complexity with several existing schemes.

Original languageEnglish
Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
Pages568-572
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
Duration: 19 May 200823 May 2008

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

ConferenceIEEE International Conference on Communications, ICC 2008
Country/TerritoryChina
CityBeijing
Period19/05/0823/05/08

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