• DocumentCode
    3326161
  • Title

    A Parametric Analytical Diffusion Model for Indoor Ultra-Wideband Received Signal

  • Author

    Nemati, Majid A. ; Scholtz, Robert A.

  • Author_Institution
    Southern California Univ., Los Angeles, CA
  • fYear
    2005
  • fDate
    Oct. 28 2005-Nov. 1 2005
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    A parametric model for indoor ultra-wideband (UWB) impulse response at the receiver is derived analytically based on diffusion phenomenon and stochastic differential equations (SDE). This novel approach considers the channel in continuous space instead of characterizing the discrete multipath components. It was hypothesized that the multiple wave reflections in the rich scatter indoor environment cause diffusion-like behavior in the received signal. Our analysis suggested a geometric Brownian motion with exponential decaying factor as the channel stochastic impulse response. The simple closed form of the model has parameters that can be adjusted for different indoor channel behaviors, i.e., match the power delay profile and channel statistics. The model parameters were estimated for an office building, and its statistics were compared to the statistics of a set of data from experiment. The IEEE channel model (CM3) was used for comparison purposes. The results have shown that our proposed model closely resembles experimentally collected data for dense multipath channels
  • Keywords
    differential equations; indoor communication; multipath channels; stochastic processes; ultra wideband communication; channel stochastic impulse response; discrete multipath components; geometric Brownian motion; indoor UWB impulse response; indoor ultra-wideband received signal; multipath channels; multiple wave reflections; parametric analytical diffusion model; stochastic differential equations; Analytical models; Delay; Differential equations; Indoor environments; Parametric statistics; Reflection; Scattering; Signal analysis; Stochastic processes; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0131-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2005.1599724
  • Filename
    1599724