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Titolo:
DECENTRALIZED SIGNAL-DETECTION WITH FUZZY INFORMATION
Autore:
SAMARASOORIYA VNS; VARSHNEY PK;
Indirizzi:
SYRACUSE UNIV,DEPT ELECT ENGN & COMP SCI SYRACUSE NY 13244
Titolo Testata:
Optical engineering
fascicolo: 3, volume: 36, anno: 1997,
pagine: 658 - 668
SICI:
0091-3286(1997)36:3<658:DSWFI>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
TESTING STATISTICAL HYPOTHESES; DECISION PROBLEM; DISTANCE MEASURES;
Keywords:
SENSOR FUSION; DECENTRALIZED DETECTION; FUZZY INFORMATION SYSTEMS; BAYES CRITERION; MULTISENSOR SYSTEMS; DATA COMPRESSION; DATA FUSION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
23
Recensione:
Indirizzi per estratti:
Citazione:
V.N.S. Samarasooriya e P.K. Varshney, "DECENTRALIZED SIGNAL-DETECTION WITH FUZZY INFORMATION", Optical engineering, 36(3), 1997, pp. 658-668

Abstract

We extend the decentralized signal detection problem to the case where the observations available at the sensors display measurement inaccuracy. The imprecise measurements at each sensor are modeled as fuzzy information systems. The fuzzy information system model consists of fuzzy partitions defined on the corresponding crisp (nonfuzzy) observation space. A Bayesian decision criterion is employed in the design of the signal detection schemes at the local sensors and the decision fusion center. Compression of the input fuzzy systems at the sensors into afewer number of levels is studied. Both optimal and suboptimal methods are employed to partition the fuzzy observation space for signal detection applications. (C) 1997 Society of Photo-Optical InstrumentationEngineers.

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Documento generato il 18/09/20 alle ore 16:27:45