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Preamble detection for broadband power line communication systems

Author

Listed:
  • Szu-Lin Su

    (National Cheng Kung University)

  • Nan-Hsiung Huang

    (National Cheng Kung University)

  • Yu-Hsuan Chen

    (National Cheng Kung University)

  • Kuei-Chiang Lai

    (National Cheng Kung University)

Abstract

Power line communication (PLC) systems enable information exchange over existing electric power grids at a low deployment cost. Such systems constitute a crucial component of smart grids. However, PLC is negatively affected by multipath channel, random impulsive noise (IN), and background noise. Numerous studies have evaluated the data detection performance of PLC systems; however, few studies have examined the preamble detection performance of these systems under IN. Accordingly, the present study evaluated preamble detection schemes for PLC systems. Specifically, the study compared two schemes, namely, an energy detection scheme and an autocorrelation detection scheme. The study results indicated that the energy detection scheme exhibited lower complexity and had a shorter mean time to correct detection than did the autocorrelation detection scheme. Therefore, the energy detection scheme was determined to be more suitable than the autocorrelation detection scheme for preamble detection in power line channels, a finding that is in contrast to expectations.

Suggested Citation

  • Szu-Lin Su & Nan-Hsiung Huang & Yu-Hsuan Chen & Kuei-Chiang Lai, 2024. "Preamble detection for broadband power line communication systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 47-60, September.
    • Handle: RePEc:spr:telsys:v:87:y:2024:i:1:d:10.1007_s11235-024-01156-z
    DOI: 10.1007/s11235-024-01156-z
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    References listed on IDEAS

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    1. Leemis, Lawrence M. & McQueston, Jacquelyn T., 2008. "Univariate Distribution Relationships," The American Statistician, American Statistical Association, vol. 62, pages 45-53, February.
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