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
Link To Document :
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