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Time Domain Cluster PDF and Its Application in Geometry-Based Statistical Channel Models

Arias, Marvin; and Mandersson, Bengt LU (2007) IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2007 In Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007) p.1-5
Abstract
This paper presents an approach to derivate the Time of

Arrival (TOA) power density function (PDF) and its

application in geometry-based statistical channel models for urban environments. The cluster PDF derived can be used to simulate temporal dispersion of the multipath signal grouped in clusters in a variety of urban propagation conditions to quantify second order statistics, i.e., delay spread for a given elliptical shape of the cluster. We propose a clustering

approach channel model, and employ it to derive the PDF of

TOA of the multipath signal. In order to evaluate the

theoretical clusters PDF in time domain proposed, we make

computer simulations for the geometry-based channel... (More)
This paper presents an approach to derivate the Time of

Arrival (TOA) power density function (PDF) and its

application in geometry-based statistical channel models for urban environments. The cluster PDF derived can be used to simulate temporal dispersion of the multipath signal grouped in clusters in a variety of urban propagation conditions to quantify second order statistics, i.e., delay spread for a given elliptical shape of the cluster. We propose a clustering

approach channel model, and employ it to derive the PDF of

TOA of the multipath signal. In order to evaluate the

theoretical clusters PDF in time domain proposed, we make

computer simulations for the geometry-based channel model

proposed and compared it with experimental results published in the open literature. The comparison with experimental results shows good agreement. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007)
pages
1 - 5
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2007
external identifiers
  • scopus:44349158933
ISBN
978-1-4244-1144-3
DOI
10.1109/PIMRC.2007.4394419
project
Signalbehandling: Multipath Propagation in Radio Channels
language
English
LU publication?
yes
id
f2184109-a819-44b5-94da-205a050c0530 (old id 1026254)
date added to LUP
2008-02-06 14:20:13
date last changed
2017-06-04 04:43:36
@inproceedings{f2184109-a819-44b5-94da-205a050c0530,
  abstract     = {This paper presents an approach to derivate the Time of<br/><br>
Arrival (TOA) power density function (PDF) and its<br/><br>
application in geometry-based statistical channel models for urban environments. The cluster PDF derived can be used to simulate temporal dispersion of the multipath signal grouped in clusters in a variety of urban propagation conditions to quantify second order statistics, i.e., delay spread for a given elliptical shape of the cluster. We propose a clustering<br/><br>
approach channel model, and employ it to derive the PDF of<br/><br>
TOA of the multipath signal. In order to evaluate the<br/><br>
theoretical clusters PDF in time domain proposed, we make<br/><br>
computer simulations for the geometry-based channel model<br/><br>
proposed and compared it with experimental results published in the open literature. The comparison with experimental results shows good agreement.},
  author       = {Arias, Marvin; and Mandersson, Bengt},
  booktitle    = {Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007)},
  isbn         = {978-1-4244-1144-3},
  language     = {eng},
  pages        = {1--5},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Time Domain Cluster PDF and Its Application in Geometry-Based Statistical Channel Models},
  url          = {http://dx.doi.org/10.1109/PIMRC.2007.4394419},
  year         = {2007},
}