Open AccessUNCERTAINTY QUANTIFICATION OF RADIO PROPAGATION USING POLYNOMIAL CHAOS
Author(s) -
Mattias Enstedt,
Niklas Wellander
Publication year - 2016
Publication title -
progress in electromagnetics research m
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 31
ISSN - 1937-8726
DOI - 10.2528/pierm16062101
Subject(s) - polynomial chaos , chaos (operating system) , propagation of uncertainty , polynomial , computer science , uncertainty quantification , mathematics , algorithm , statistics , mathematical analysis , computer security , machine learning , monte carlo method
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.
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