Performance improvement in decentralized fusion problems via additive dependent noises
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper investigates effects of adding dependent random signals (additive noises) to observations of local sensors in decentralized fusion problems, where the decision of each local sensor is directly transmitted to the fusion center for the final decision according to Neyman-Pearson criterion. Threshold of the fusion center and random signals added to observations of local sensors are modeled as random variables dependent on each other but independent from the observations at the local sensors. Simulation results are presented to investigate performance of the proposed approach. © 2017 Elsevier B.V., All rights reserved.
Açıklama
12th International Conference on Electronics Computer and Computation, ICECCO 2015 -- -- Almaty -- 119793
Anahtar Kelimeler
Decentralized fusion, dependent noises, Neyman-Pearson
Kaynak
WoS Q Değeri
Scopus Q Değeri
N/A
