A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals

This thesis presents a new statistical multi-cluster indoor channel model for ultrawideband (UWB) communications between 0.1 to 2 GHz. The proposed model has been developed based on 924 measured channel impulse responses conducted at 24 different locations over a single floor in a typical modem o...

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Main Author:	Thiagarajah, Sharlene
Format:	Thesis
Language:	English English
Published:	2005
Subjects:	Ultra-wideband devices - Case studies
Online Access:	http://psasir.upm.edu.my/id/eprint/6049/1/FK_2005_43.pdf
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spelling	my-upm-ir.60492023-01-05T07:38:13Z A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals 2005-04 Thiagarajah, Sharlene This thesis presents a new statistical multi-cluster indoor channel model for ultrawideband (UWB) communications between 0.1 to 2 GHz. The proposed model has been developed based on 924 measured channel impulse responses conducted at 24 different locations over a single floor in a typical modem office environment. The multi-cluster channel characteristics are modeled according to 10 independent channel parameters extracted from the large-scale and small-scale statistical analysis of the received energy delay profiles (EDP). Three new channel parameters were introduced to better describe the time and energy dispersion statistics of the UWB signal. They are the maximum excess delay (MED), decay factor, y within the MED and energy gains variations between adjacent bins, X. The pulse propagation characteristics were further modeled according to several path topogaphies. In addition, two new path loss prediction models were developed to take into account the attenuation factor (AF) due to gypsum and brick wall, the two main obstructing walls in this experiment. The proposed multi-cluster channel model improves the prediction accuracy of the UWB pulse characteristics for various path topographies due to its detailed parameterization of the channel statistics. In comparison, the channel model of Cassioli et a]. in 2001 was developed using only three independent lognormal parameters, i.e. shadowing, o, decay factor, y and the energy gains ratio, r. Furthermore, Cassioli et al. proposed a single cluster channel model without topographical classification. The channel model of Alvarez et al. in 2003 however was developed based on five channel parameters extracted from analysis conducted in the frequency domain. This method does not accurately capture the time delay statistics of the transmitted pulse. The experimental results indicate the U WB signal's high immunity against fades and its attractiveness for propagation in tunnels. In addition the UWB channel was observed to exhibits a wide-sense-stationary-uncorrelated-scattering (WSSUS) characteristic which simplifies the transfer function between the time and frequency domains via a single Fourier transform. Ultra-wideband devices - Case studies 2005-04 Thesis http://psasir.upm.edu.my/id/eprint/6049/ http://psasir.upm.edu.my/id/eprint/6049/1/FK_2005_43.pdf text en public phd doctoral Universiti Putra Malaysia Ultra-wideband devices - Case studies Engineering English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Ultra-wideband devices - Case studies
spellingShingle	Ultra-wideband devices - Case studies Thiagarajah, Sharlene A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
description	This thesis presents a new statistical multi-cluster indoor channel model for ultrawideband (UWB) communications between 0.1 to 2 GHz. The proposed model has been developed based on 924 measured channel impulse responses conducted at 24 different locations over a single floor in a typical modem office environment. The multi-cluster channel characteristics are modeled according to 10 independent channel parameters extracted from the large-scale and small-scale statistical analysis of the received energy delay profiles (EDP). Three new channel parameters were introduced to better describe the time and energy dispersion statistics of the UWB signal. They are the maximum excess delay (MED), decay factor, y within the MED and energy gains variations between adjacent bins, X. The pulse propagation characteristics were further modeled according to several path topogaphies. In addition, two new path loss prediction models were developed to take into account the attenuation factor (AF) due to gypsum and brick wall, the two main obstructing walls in this experiment. The proposed multi-cluster channel model improves the prediction accuracy of the UWB pulse characteristics for various path topographies due to its detailed parameterization of the channel statistics. In comparison, the channel model of Cassioli et a]. in 2001 was developed using only three independent lognormal parameters, i.e. shadowing, o, decay factor, y and the energy gains ratio, r. Furthermore, Cassioli et al. proposed a single cluster channel model without topographical classification. The channel model of Alvarez et al. in 2003 however was developed based on five channel parameters extracted from analysis conducted in the frequency domain. This method does not accurately capture the time delay statistics of the transmitted pulse. The experimental results indicate the U WB signal's high immunity against fades and its attractiveness for propagation in tunnels. In addition the UWB channel was observed to exhibits a wide-sense-stationary-uncorrelated-scattering (WSSUS) characteristic which simplifies the transfer function between the time and frequency domains via a single Fourier transform.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Thiagarajah, Sharlene
author_facet	Thiagarajah, Sharlene
author_sort	Thiagarajah, Sharlene
title	A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
title_short	A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
title_full	A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
title_fullStr	A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
title_full_unstemmed	A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals
title_sort	statistical multi-cluster indoor channel model in an office environment for ultra-wideband signals
granting_institution	Universiti Putra Malaysia
granting_department	Engineering
publishDate	2005
url	http://psasir.upm.edu.my/id/eprint/6049/1/FK_2005_43.pdf
_version_	1776100254363418624

A Statistical Multi-Cluster Indoor Channel Model in an Office Environment for Ultra-Wideband Signals

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