Distributed detection for multisensor correlated data

Guang Hui Yu; Ya Ping Dai; Chao Zhen Hou

Distributed detection for multisensor correlated data

Guang Hui Yu^*, Ya Ping Dai, Chao Zhen Hou

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

Abstract

A new method of distributed detection is presented where data from multisensor are correlated. Orthogonal transformation is adopted for the de-correlation of data, so a simple likelihood ratio method can be used. The paper also proves the probability of transformation in theory and presents the transform matrix. Two kinds of models in simulation show the effect of the method in distributed detection systems.

Original language	English
Pages (from-to)	565-568
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	23
Issue number	5
Publication status	Published - Oct 2003

Keywords

Distributed detection
Likelihood ratio
Orthogonal transform

Cite this

Yu, G. H., Dai, Y. P., & Hou, C. Z. (2003). Distributed detection for multisensor correlated data. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 23(5), 565-568.

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abstract = "A new method of distributed detection is presented where data from multisensor are correlated. Orthogonal transformation is adopted for the de-correlation of data, so a simple likelihood ratio method can be used. The paper also proves the probability of transformation in theory and presents the transform matrix. Two kinds of models in simulation show the effect of the method in distributed detection systems.",

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author = "Yu, {Guang Hui} and Dai, {Ya Ping} and Hou, {Chao Zhen}",

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T1 - Distributed detection for multisensor correlated data

AU - Yu, Guang Hui

AU - Dai, Ya Ping

AU - Hou, Chao Zhen

PY - 2003/10

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N2 - A new method of distributed detection is presented where data from multisensor are correlated. Orthogonal transformation is adopted for the de-correlation of data, so a simple likelihood ratio method can be used. The paper also proves the probability of transformation in theory and presents the transform matrix. Two kinds of models in simulation show the effect of the method in distributed detection systems.

AB - A new method of distributed detection is presented where data from multisensor are correlated. Orthogonal transformation is adopted for the de-correlation of data, so a simple likelihood ratio method can be used. The paper also proves the probability of transformation in theory and presents the transform matrix. Two kinds of models in simulation show the effect of the method in distributed detection systems.

KW - Distributed detection

KW - Likelihood ratio

KW - Orthogonal transform

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M3 - Article

AN - SCOPUS:1542504674

SN - 1001-0645

VL - 23

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

Distributed detection for multisensor correlated data

Abstract

Keywords

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