Blind estimation of OFDM carrier frequency offset via oversampling

Biao Chen, Hao Wang

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

Blind deterministic estimation of the orthogonal frequency division multiplexing (OFDM) frequency offset via oversampling is proposed in this paper. This method utilizes the intrinsic phase shift of neighboring sample points incurred by the frequency offset that is common among all subcarriers. The proposed method is data efficient - it requires only a single OFDM symbol to achieve reliable estimation, hence making it more suitable to systems with stringent delay requirement and mobility-induced channel variation. The proposed scheme is devised to perfectly retrieve frequency offset in the absence of noise. Quite remarkably, we show that in the presence of channel noise, this intuitive scheme is indeed the maximum likelihood estimate of the carrier frequency offset. The possible presence of virtual carriers are also accommodated in the system model, and some interesting observations are obtained. The Cramér-Rao lower bound is derived for the oversampling-based signal model, and we show through numerical simulation that the proposed algorithm is efficient. Practical issues such as identifiability, the front-end filter bandwidth, and the possible presence of correlated noises are also carefully addressed.

Original languageEnglish (US)
Pages (from-to)2047-2057
Number of pages11
JournalIEEE Transactions on Signal Processing
Volume52
Issue number7
DOIs
StatePublished - Jul 1 2004

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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