OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition

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

Abstract

In this paper, we present a new technique for estimating symbol-timing offset (STO) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems. The method we present is based on detecting a training sequence at the beginning of an OFDM stream using singular value decomposition (SVD), where STO and CFO are simultaneously estimated. We show by numerical simulations that our algorithm significantly improves STO and CFO estimation compared to conventional maximum likelihood (ML) techniques at low signal-to-noise ratio (SNR) values.
Original languageEnglish
Title of host publication2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)
PublisherACM/IEEE
Number of pages4
ISBN (Print)978-1-6654-8599-9
DOIs
Publication statusPublished - 14 Jul 2022
Event2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications : CoBCom 2022 - Graz, Austria
Duration: 12 Jul 202214 Jul 2022

Conference

Conference2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications
Abbreviated titleCoBCom 2022
Country/TerritoryAustria
CityGraz
Period12/07/2214/07/22

Keywords

  • Training
  • Maximum likelihood estimation
  • OFDM
  • Frequency conversion
  • Numerical simulation
  • Frequency division multiplexing
  • Multimedia communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental

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