A simplified matched filter-based approach for carrier frequency offset estimation in CO-OFDM

Xinwei Du, Huaijian Luo, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


This paper proposes a simple and efficient approach for the estimation of carrier frequency offset (CFO) in coherent optical OFDM (CO-OFDM) systems. By zero-padding the first received OFDM symbol and performing discrete Fourier transform (DFT), the obtained spectrum will preserve the shape of the original transmitted spectrum, but with finer frequency intervals. Leveraging this feature and the matched filter concept, we can develop a CFO estimator that can achieve the optimum estimation performance whose estimation error variance can reach the Cramer-Rao lower bound (CRLB). However, to obtain the accurate the estimation of CFO, the zero-padding rate should be large enough and a search step is required in matched filtering. In order to reduce the implementation complexity of the proposed algorithm, we further simplify the cost function after matched filtering to an approximated cosine function. Given three test values, the CFO estimate can be directly calculated from the test functions, without complicated search. Simulation results verify the feasibility and simplicity of the proposed simplified CFO estimator.

Original languageEnglish
Title of host publicationOptoelectronic Devices and Integration IX
EditorsXuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang
ISBN (Electronic)9781510639096
Publication statusPublished - Oct 2020
EventOptoelectronic Devices and Integration IX 2020 - Virtual, Online, China
Duration: 12 Oct 202016 Oct 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceOptoelectronic Devices and Integration IX 2020
CityVirtual, Online


  • carrier frequency offset
  • Coherent optical OFDM
  • matched filter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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