Sequential decision fusion: Theory and applications

Venugopal V. Veeravalli

doi:10.1016/S0016-0032(98)00023-4

Sequential decision fusion: Theory and applications

Research output: Contribution to journal › Article › peer-review

Abstract

A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.

Original language	English (US)
Pages (from-to)	301-322
Number of pages	22
Journal	Journal of the Franklin Institute
Volume	336
Issue number	2
DOIs	https://doi.org/10.1016/S0016-0032(98)00023-4
State	Published - 1999
Externally published	Yes

Keywords

Decentralized decision-making
Season fusion
Sequential analysis

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications
Applied Mathematics

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10.1016/S0016-0032(98)00023-4

Cite this

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title = "Sequential decision fusion: Theory and applications",

abstract = "A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.",

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author = "Veeravalli, {Venugopal V.}",

note = "Funding Information: 1Appeared in part in the Proceedings of the ¼orkshop on Foundations Information/Decision Fusion with Engineering Applications, August 1996, Washington DC. This research was supported by the Office of Naval Research under Grant N00014-97-0823, through Cornell University. *Tel.: 607-255-4847; fax: 607-255-9072; e-mail: venu@ee.cornell.edu 0016-0032/98/$ — See front matter ( 1998 The Franklin Institute. Published by Elsevier Science Ltd. PII: S0016-0032(98)00023-4",

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doi = "10.1016/S0016-0032(98)00023-4",

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AU - Veeravalli, Venugopal V.

N1 - Funding Information: 1Appeared in part in the Proceedings of the ¼orkshop on Foundations Information/Decision Fusion with Engineering Applications, August 1996, Washington DC. This research was supported by the Office of Naval Research under Grant N00014-97-0823, through Cornell University. *Tel.: 607-255-4847; fax: 607-255-9072; e-mail: venu@ee.cornell.edu 0016-0032/98/$ — See front matter ( 1998 The Franklin Institute. Published by Elsevier Science Ltd. PII: S0016-0032(98)00023-4

PY - 1999

Y1 - 1999

N2 - A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.

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KW - Decentralized decision-making

KW - Season fusion

KW - Sequential analysis

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SN - 0016-0032

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Sequential decision fusion: Theory and applications

Abstract

Keywords

ASJC Scopus subject areas

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