• DocumentCode
    2039704
  • Title

    LMS Algorithms for Noise Offset in Medium-Voltage Power Line Communication

  • Author

    Gao Qiang ; Zhang Jun

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Several methods are studied in order to improve the communication reliability. However, little methods are discussed aim at medium-voltage power line communication (MV-PLC). In this paper, the general idea of the noise elimination based on single-phase line has been changed. There is a new idea to use three-phase line for noise offset. By analysis of the noise correlation properties, the LMS adaptive algorithm is proposed. Simulation and test show that, regular LMS algorithm has high performance, but it is quite sensitive to the abrupt interference of power line noise. In order to resolve this problem, an modified least mean square algorithm gradient adaptive lattice algorithm (GAL) is proposed. The simulations indicate that GAL is able to resist the abrupt interference effectively. It possesses more advantages than regular LMS algorithm and at the same time, it has nearly the same performance to improve the signal-to-noise ration (SNR). With high performance, LMS algorithms are very fit for PLC.
  • Keywords
    carrier transmission on power lines; gradient methods; interference suppression; least mean squares methods; power engineering computing; LMS adaptive algorithm; gradient adaptive lattice algorithm; least mean square algorithm; medium-voltage power line communication; noise correlation property; noise elimination; noise offset; single-phase line; Adaptive algorithm; Algorithm design and analysis; Interference; Lattices; Least mean square algorithms; Least squares approximation; Medium voltage; Power line communications; Resists; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072942
  • Filename
    5072942