Decision fusion using channels with communication constraints

Chao Tang Yu; Pramod K. Varshney

doi:10.1117/12.276119

Decision fusion using channels with communication constraints

Chao Tang Yu, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

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

2 Scopus citations

Abstract

A decentralized detection system usually contains a number of remotely located local sensors that observe a common phenomenon and a data fusion center that makes a final decision. The local sensors are linked to the data fusion center by transmission channels. In this paper, some aspects of decision fusion problems with communication constraints are considered. Two interesting issues, namely, bandwidth allocation among the channels linking local sensors to the fusion center, and the trade-off between the number of sensors and the number of likelihood-ratio quantization levels at local sensors, are studied. Examples are presented for illustration.

Original language	English (US)
Pages (from-to)	94-105
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3067
DOIs	https://doi.org/10.1117/12.276119
State	Published - 1997
Event	Sensor Fusion: Architectures, Algorithms, and Applications - Orlando, FL, United States Duration: Apr 24 1997 → Apr 24 1997

Keywords

Bandwidth allocation
Data fusion
Distributed detection
Quantization
Sampling

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.276119

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title = "Decision fusion using channels with communication constraints",

abstract = "A decentralized detection system usually contains a number of remotely located local sensors that observe a common phenomenon and a data fusion center that makes a final decision. The local sensors are linked to the data fusion center by transmission channels. In this paper, some aspects of decision fusion problems with communication constraints are considered. Two interesting issues, namely, bandwidth allocation among the channels linking local sensors to the fusion center, and the trade-off between the number of sensors and the number of likelihood-ratio quantization levels at local sensors, are studied. Examples are presented for illustration.",

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AU - Varshney, Pramod K.

PY - 1997

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AB - A decentralized detection system usually contains a number of remotely located local sensors that observe a common phenomenon and a data fusion center that makes a final decision. The local sensors are linked to the data fusion center by transmission channels. In this paper, some aspects of decision fusion problems with communication constraints are considered. Two interesting issues, namely, bandwidth allocation among the channels linking local sensors to the fusion center, and the trade-off between the number of sensors and the number of likelihood-ratio quantization levels at local sensors, are studied. Examples are presented for illustration.

KW - Bandwidth allocation

KW - Data fusion

KW - Distributed detection

KW - Quantization

KW - Sampling

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EP - 105

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Sensor Fusion: Architectures, Algorithms, and Applications

Y2 - 24 April 1997 through 24 April 1997

ER -

Decision fusion using channels with communication constraints

Abstract

Keywords

ASJC Scopus subject areas

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