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

Institute of Microwave and Photonic Engineering (4510)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-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 language	English
Title of host publication	2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 2022
Publisher	ACM/IEEE
Number of pages	4
ISBN (Electronic)	9781665485982
ISBN (Print)	978-1-6654-8599-9
DOIs	https://doi.org/10.1109/CoBCom55489.2022.9880699
Publication status	Published - 14 Jul 2022
Event	4th International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications: CoBCom 2022 - TU Graz, Graz, Austria Duration: 12 Jul 2022 → 14 Jul 2022

Publication series

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

Conference

Conference	4th International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications
Abbreviated title	CoBCom 2022
Country/Territory	Austria
City	Graz
Period	12/07/22 → 14/07/22

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)

ASJC Scopus subject areas

Applied Mathematics
Electrical and Electronic Engineering
Signal Processing
Computer Networks and Communications
Media Technology

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Experimental

Access to Document

10.1109/CoBCom55489.2022.9880699

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

Cite this

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 Article 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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, Austria, 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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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)",

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AU - Hatab, Ziad

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AU - Bösch, Wolfgang

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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)

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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

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Fingerprint

CD-Laboratory for Technology guided electronic component design and characterization

Cite this

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Fingerprint

Projects

CD-Laboratory for Technology guided electronic component design and characterization

Cite this