• DocumentCode
    3101644
  • Title

    Emulation of AWGN for noise margin test of powerline communication systems

  • Author

    Liu, Wenqing ; Li, Chen ; Dostert, Klaus

  • Author_Institution
    Inst. of Ind. Inf. Technol., Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2011
  • fDate
    3-6 April 2011
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    AWGN is a channel model with white Gaussian noise. Due to the simplicity and the tractability of the mathematical nature, this model is widely used to study the behavior of a communication system. The performance evaluation of almost all powerline communication (PLC) systems begins with the margin test against AWGN. In this paper we report the implementation of AWGN in a powerline channel emulator that is used for the performance evaluation of PLC modems. Some common methods of generating white Gaussian random numbers are investigated and implemented. A verification platform is developed to measure the quality of the generated white Gaussian noise. A comparison of the implementations is made in the consideration of the accuracy, the speed and the resource consumption. The influence of analog components such as the reconstruction filter, the clipping diode and the coupling circuits is also investigated.
  • Keywords
    AWGN channels; carrier transmission on power lines; coupled circuits; AWGN channel; analog components; clipping diode; coupling circuits; noise margin test; powerline channel emulator; powerline communication systems; reconstruction filter; resource consumption; white Gaussian noise; white Gaussian random numbers; Clocks; Density functional theory; Gaussian distribution; Gaussian noise; Histograms; Random variables; AWGN; PLC Channel Emulator; Probability Density Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Line Communications and Its Applications (ISPLC), 2011 IEEE International Symposium on
  • Conference_Location
    Udine
  • Print_ISBN
    978-1-4244-7751-7
  • Electronic_ISBN
    978-1-4244-7749-4
  • Type

    conf

  • DOI
    10.1109/ISPLC.2011.5764397
  • Filename
    5764397