• DocumentCode
    3125354
  • Title

    Performance analysis of UWB intra-vehicle transmitted-reference communication systems

  • Author

    Yongnu Jin ; Kyeong Jin Kim ; Kyung Sup Kwak

  • Author_Institution
    UWB Wireless Commun. Res. Center, Inha Univ., Incheon, South Korea
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    277
  • Lastpage
    281
  • Abstract
    The applications of ultra wideband (UWB) technologies in commercial vehicles wireless networked control systems (NCS) are attracting attention recently. The transmitted reference (TR) signaling, along with an autocorrelation receiver (AcR), is used for UWB intra-vehicle communication systems. In this paper, we analyze the performance of UWB intra-vehicle NCS with TR signaling under different time-bandwidth products and different numbers of transmitted pulses per symbol conditions. The bit-error probability (BEP) performance of this system is estimated based on the Gaussian approximation and the sampling expansion methods. Through Monte Carlo simulations, we investigate the limitation of the validity of the conventional Gaussian approximation and the sampling expansion methods for the intra-vehicle NCS.
  • Keywords
    Gaussian processes; Monte Carlo methods; error statistics; mobile communication; radio networks; ultra wideband communication; AcR; BEP performance; Gaussian approximation; Monte Carlo simulation; TR signaling; UWB intra-vehicle transmitted-reference communication system; autocorrelation receiver; bit-error probability performance; commercial vehicles wireless networked control system; intravehicle NCS; performance analysis; time-bandwidth products; transmitted reference signaling; Bandwidth; Channel models; Engines; Estimation; Gallium; Noise; Vehicles; Intra vehicle communication system; NCS; UWB; transmitted reference signaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2011 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8789-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2011.5766472
  • Filename
    5766472