Uncertainty quantification of radio propagation using polynomial chaos
(2016) In Progress in Electromagnetics Research M 50. p.205-213- Abstract
In this paper we demonstrate how so-called polynomial chaos expansions can be used to create efficient algorithms for uncertainty quantification in some classes of problems related to wave propagation in stochastic environment. We provide an example from telecommunication.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7476fd9f-1227-4b4e-a1de-fdd177f5658d
- author
- Enstedt, Mattias and Wellander, Niklas LU
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Progress in Electromagnetics Research M
- volume
- 50
- pages
- 9 pages
- publisher
- Electromagnetics Academy
- external identifiers
-
- scopus:84991660590
- ISSN
- 1937-8726
- language
- English
- LU publication?
- yes
- id
- 7476fd9f-1227-4b4e-a1de-fdd177f5658d
- alternative location
- http://www.jpier.org/PIERM/pierm50/20.16062101.pdf
- date added to LUP
- 2017-02-24 12:48:30
- date last changed
- 2022-03-09 01:17:17
@article{7476fd9f-1227-4b4e-a1de-fdd177f5658d,
abstract = {{<p>In this paper we demonstrate how so-called polynomial chaos expansions can be used to create efficient algorithms for uncertainty quantification in some classes of problems related to wave propagation in stochastic environment. We provide an example from telecommunication.</p>}},
author = {{Enstedt, Mattias and Wellander, Niklas}},
issn = {{1937-8726}},
language = {{eng}},
pages = {{205--213}},
publisher = {{Electromagnetics Academy}},
series = {{Progress in Electromagnetics Research M}},
title = {{Uncertainty quantification of radio propagation using polynomial chaos}},
url = {{http://www.jpier.org/PIERM/pierm50/20.16062101.pdf}},
volume = {{50}},
year = {{2016}},
}