Reducing the dimensionality effect in importance sampling simulations


Autoria(s): Sanz Gonzalez, Jose Luis; Zazo Bello, Santiago; Álvarez Vaquero, F.
Data(s)

01/11/2013

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

http://oa.upm.es/26860/

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