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

Ziad Hatab; Hiroaki Takahashi; Michael Gadringer; Wolfgang Bösch

doi:10.1109/CoBCom55489.2022.9880699

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

Ziad Hatab, Hiroaki Takahashi, Michael Gadringer, Wolfgang Bösch

Institut für Hochfrequenztechnik (4510)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022
Herausgeber (Verlag)	ACM/IEEE
Seitenumfang	4
ISBN (elektronisch)	9781665485982
ISBN (Print)	978-1-6654-8599-9
DOIs	https://doi.org/10.1109/CoBCom55489.2022.9880699
Publikationsstatus	Veröffentlicht - 14 Juli 2022
Veranstaltung	4th International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications: CoBCom 2022 - TU Graz, Graz, Österreich Dauer: 12 Juli 2022 → 14 Juli 2022

Publikationsreihe

Name	2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022

Konferenz

Konferenz	4th International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications
Kurztitel	CoBCom 2022
Land/Gebiet	Österreich
Ort	Graz
Zeitraum	12/07/22 → 14/07/22

ASJC Scopus subject areas

Angewandte Mathematik
Elektrotechnik und Elektronik
Signalverarbeitung
Computernetzwerke und -kommunikation
Medientechnik

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Experimental

Zugriff auf Dokument

10.1109/CoBCom55489.2022.9880699

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9880699

Andere Dateien und Links

CD-Labor für Technologie basiertes Design und Charakterisierung von elektronischen Komponenten
Bösch, W., Hatab, Z., Gadringer, M. E., Takahashi, H., Maier, C., Sarbandi Farahani, H., Pauser, C., Paulitsch, H., Rezaee, B. & Fuchs, M.
1/11/20 → 31/10/27
Projekt: Forschungsprojekt

Dieses zitieren

Hatab, Z., Takahashi, H., Gadringer, M., & Bösch, W. (2022). OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition. in 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022 Artikel 9880699 (2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022). ACM/IEEE. https://doi.org/10.1109/CoBCom55489.2022.9880699

OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition. / Hatab, Ziad; Takahashi, Hiroaki; Gadringer, Michael et al.
2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022. ACM/IEEE, 2022. 9880699 (2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Hatab, Z, Takahashi, H, Gadringer, M & Bösch, W 2022, OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition. in 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022., 9880699, 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022, ACM/IEEE, 4th International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Österreich, 12/07/22. https://doi.org/10.1109/CoBCom55489.2022.9880699

Hatab Z, Takahashi H, Gadringer M , Bösch W. OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition. in 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022. ACM/IEEE. 2022. 9880699. (2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022). doi: 10.1109/CoBCom55489.2022.9880699

Hatab, Ziad ; Takahashi, Hiroaki ; Gadringer, Michael et al. / OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition. 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022. ACM/IEEE, 2022. (2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022).

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title = "OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition",

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.",

keywords = "Training, Maximum likelihood estimation, OFDM, Frequency conversion, Numerical simulation, Frequency division multiplexing, Multimedia communication, carrier frequency offset (CFO), synchronization, symbol-timing offset (STO), orthogonal frequency division multiplexing (OFDM), singular value decomposition (SVD)",

author = "Ziad Hatab and Hiroaki Takahashi and Michael Gadringer and Wolfgang B{\"o}sch",

year = "2022",

month = jul,

day = "14",

doi = "10.1109/CoBCom55489.2022.9880699",

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TY - GEN

T1 - OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition

AU - Hatab, Ziad

AU - Takahashi, Hiroaki

AU - Gadringer, Michael

AU - Bösch, Wolfgang

PY - 2022/7/14

Y1 - 2022/7/14

N2 - 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.

AB - 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.

KW - Training

KW - Maximum likelihood estimation

KW - OFDM

KW - Frequency conversion

KW - Numerical simulation

KW - Frequency division multiplexing

KW - Multimedia communication

KW - carrier frequency offset (CFO)

KW - synchronization

KW - symbol-timing offset (STO)

KW - orthogonal frequency division multiplexing (OFDM)

KW - singular value decomposition (SVD)

UR - https://ieeexplore.ieee.org/document/9880699/

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U2 - 10.1109/CoBCom55489.2022.9880699

DO - 10.1109/CoBCom55489.2022.9880699

M3 - Conference paper

SN - 978-1-6654-8599-9

T3 - 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022

BT - 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022

PB - ACM/IEEE

T2 - 4th International Conference on Broadband Communications for Next<br/>Generation Networks and Multimedia Applications

Y2 - 12 July 2022 through 14 July 2022

ER -

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

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Zugriff auf Dokument

Andere Dateien und Links

Projekte

CD-Labor für Technologie basiertes Design und Charakterisierung von elektronischen Komponenten

Dieses zitieren