By Topic

Spectral properties of signal fading and Doppler spectra distribution in urban mobile communication links

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Blaunstein, N. ; Dept. of Commun. Syst. Eng., Ben Gurion Univ. of the Negev, Beer Sheva, Israel ; Ben-Shimol, Y.

In this work we continue the analysis of a probabilistic approach and the corresponding stochastic multi-parametric model of wave propagation in built-up areas with randomly distributed buildings. Here we concentrate on the spectral properties of signal strength spatial variations and on Doppler spread spectrum distribution of signal power. The analysis is based on a unified stochastic approach of radio wave propagation above the built-up terrain with applications to mobile communications. We analyze the signal power spectrum of spatial frequencies and the signal power distribution in the Doppler domain for moving vehicles, taking into account Doppler shift proportional to the vehicle antenna speed with respect to the base station. The comparison between the theoretical prediction and experimental data was motivated by the proposed stochastic model and by other existing statistical models to verify the signal power distribution in the Doppler domain for various urban environments and terminal heights with respect to building rooftops. New effects of terrain features on signal power spectrum distribution are obtained and examined through the comparison with existing models and experimental data.

Published in:

Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th  (Volume:7 )

Date of Conference:

26-29 Sept. 2004