Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2572
Title: Statistical Modeling of Mobile Fading Channels Based on Triply Stochastic Filtered Marked Poisson Point Processes
Authors: Daba, Jihad S. 
Affiliations: Department of Electrical Engineering 
Keywords: Doppler shif
Filtered Poisson process
Generalized Clarks model
Non-isotropic scattering
Partially developed scattering
Rician distribution
Issue Date: 2017
Part of: International journal of electronics and communication engineering
Volume: 11
Issue: 1
Start page: 83
End page: 87
Abstract: 
Understanding the statistics of non-isotropic scattering multipath channels that fade randomly with respect to time, frequency, and space in a mobile environment is very crucial for the accurate detection of received signals in wireless and cellular communication systems. In this paper, we derive stochastic models for the probability density function (PDF) of the shift in the carrier frequency caused by the Doppler Effect on the received illuminating signal in the presence of a dominant line of sight. Our derivation is based on a generalized Clarkes and a two-wave partially developed scattering models, where the statistical distribution of the frequency shift is shown to be consistent with the power spectral density of the Doppler shifted signal.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2572
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

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