Symbol time offset synchronization based on training sequence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a modulation structure of digital multi-carriers that spreads the idea of a single subcarrier modulation within the same single channel by using multiple subcarriers. OFDM utilizes numerous carefully diverged orthogonal subcarriers, which are parallel transmitted. However, OFDM systems are very sensitive to synchronization errors that reduces orthogonality between sub-carriers, thereby degrading performance significantly. The synchronization problem can lead to two other problems: Carrier Frequency Offset (CFO), which leads to inter-carrier interference (ICI), and Symbol Time Offset (STO), which results in inter-symbol interference (ISI). In this research, a modified method is proposed for STO estimation using a training sequence (TS). The comparison shows that it was better than previously used methods, such as cyclic prefix (CP) by autocorrelation, CP by square difference, and ordinary TS.

Original languageEnglish
Title of host publicationInternational Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-120
Number of pages6
ISBN (Electronic)9781538635407
DOIs
Publication statusPublished - 1 Jun 2018
Event2018 International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Wasit, Iraq
Duration: 14 Mar 201815 Mar 2018

Other

Other2018 International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018
CountryIraq
CityWasit
Period14/3/1815/3/18

Fingerprint

Orthogonal Frequency Division multiplexing (OFDM)
Orthogonal frequency division multiplexing
Cyclic Prefix
Synchronization
Modulation
Intercarrier Interference
Carrier Frequency Offset
Intersymbol Interference
Multicarrier
Orthogonality
Autocorrelation
Training

Keywords

  • cyclic prefix
  • OFDM
  • symbol time offset
  • training sequence

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanics of Materials
  • Control and Optimization

Cite this

Hassan, G. M., Mokhtar, M. R., & Abu Bakar , K. A. (2018). Symbol time offset synchronization based on training sequence. In International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings (pp. 115-120). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASEA.2018.8370967

Symbol time offset synchronization based on training sequence. / Hassan, Ghassan Muslim; Mokhtar, Mohd Rosmadi; Abu Bakar , Khairul Azmi.

International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 115-120.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hassan, GM, Mokhtar, MR & Abu Bakar , KA 2018, Symbol time offset synchronization based on training sequence. in International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., pp. 115-120, 2018 International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018, Wasit, Iraq, 14/3/18. https://doi.org/10.1109/ICASEA.2018.8370967
Hassan GM, Mokhtar MR, Abu Bakar  KA. Symbol time offset synchronization based on training sequence. In International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 115-120 https://doi.org/10.1109/ICASEA.2018.8370967
Hassan, Ghassan Muslim ; Mokhtar, Mohd Rosmadi ; Abu Bakar , Khairul Azmi. / Symbol time offset synchronization based on training sequence. International Conference on Advances in Sustainable Engineering and Applications, ICASEA 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 115-120
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