Reducing the dimensionality effect in importance sampling simulations
Data(s) |
01/11/2013
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Resumo |
The dimensionality effect is avoided by the use of sufficient statistics in event probability estimators realised by importance sampling. If the system function is not a sufficient statistic, an approach is proposed to reduce the dimensionality effect in the estimators. Simulation results of false-alarm probability estimations, applied to radar detection, confirm a clear concordance with the theoretical results |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S.I. Telecomunicación (UPM) |
Relação |
http://oa.upm.es/26860/1/INVE_MEM_2013_166645.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6675740 info:eu-repo/semantics/altIdentifier/doi/10.1049/el.2013.1451 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
Electronic Letters, ISSN 0013-5194, 2013-11, Vol. 49, No. 23 |
Palavras-Chave | #Telecomunicaciones |
Tipo |
info:eu-repo/semantics/article Artículo PeerReviewed |