• DocumentCode
    3588975
  • Title

    Statistical simulation of high-speed links with transmitter and receiver nonlinearities

  • Author

    Beyene, Wendemagegnehu T. ; Zargaran-Yazd, Arash ; Xiao Ma

  • Author_Institution
    Rambus Inc., Sunnyvale, CA, USA
  • fYear
    2014
  • Firstpage
    35
  • Lastpage
    38
  • Abstract
    In this paper, we present a statistical simulation approach to evaluate the performance of high-speed links with transmitter and receiver nonlinearities. The linear time-invariant assumption in conventional fast simulation techniques is not anymore valid. The transmitters and receivers of current and next generation high-speed links are more complex and nonlinear in order to improve power and area efficiency, minimize parasitic, transmit larger swing and mitigate higher attenuation. Therefore, the calculation of bit error rate using probability density functions of the signal and impairments based on linear analysis can give inaccurate results. Instead, we use Hammerstein and Wiener models to modify the probability distribution to account for the transmitter and receiver nonlinearities. We demonstrate the approach with examples of high-speed links with NRZ and PAM4 signaling.
  • Keywords
    error statistics; probability; receivers; telecommunication links; transmitters; Hammerstein models; Wiener models; bit error rate; high-speed links; linear time-invariant assumption; probability density functions; receiver nonlinearities; transmitter nonlinearities; Bit error rate; Integrated circuit modeling; Linear systems; Probability density function; Random variables; Receivers; Transmitters; Hammerstein and Wiener models; Nonlinear transmitter and receiver; Power and Volterra series; Statistical simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Performance of Electronic Packaging and Systems (EPEPS), 2014 IEEE 23rd Conference on
  • Print_ISBN
    978-1-4799-3641-0
  • Type

    conf

  • DOI
    10.1109/EPEPS.2014.7103587
  • Filename
    7103587