Multi-mode detection with Markov target motion

D. Sinno; Douglas Cochran; Darryl Morrell

doi:10.1109/IFIC.2000.859856

Multi-mode detection with Markov target motion

D. Sinno, Douglas Cochran, Darryl Morrell

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This paper addresses the problem of the configuration of a detection system offering multiple modes of operation that differ in their detection performance and geographical coverage. A technique for optimal mode selection based upon minimizing Bayesian risk is formulated and demonstrated for the case of a two-mode system with a moving target. The dynamics of the target are described by a Markov model.

Original language	English (US)
Title of host publication	Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000
Publisher	IEEE Computer Society
Volume	2
DOIs	https://doi.org/10.1109/IFIC.2000.859856
State	Published - 2000
Event	3rd International Conference on Information Fusion, FUSION 2000 - Paris, France Duration: Jul 10 2000 → Jul 13 2000

Other

Other	3rd International Conference on Information Fusion, FUSION 2000
Country/Territory	France
City	Paris
Period	7/10/00 → 7/13/00

Keywords

Attentive sensing
detection
resource allocation
sensor management

ASJC Scopus subject areas

Information Systems

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10.1109/IFIC.2000.859856

Cite this

@inproceedings{7096caa2584b44dd9d12550b73f8a970,

title = "Multi-mode detection with Markov target motion",

abstract = "This paper addresses the problem of the configuration of a detection system offering multiple modes of operation that differ in their detection performance and geographical coverage. A technique for optimal mode selection based upon minimizing Bayesian risk is formulated and demonstrated for the case of a two-mode system with a moving target. The dynamics of the target are described by a Markov model.",

keywords = "Attentive sensing, detection, resource allocation, sensor management",

author = "D. Sinno and Douglas Cochran and Darryl Morrell",

year = "2000",

doi = "10.1109/IFIC.2000.859856",

language = "English (US)",

volume = "2",

booktitle = "Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000",

publisher = "IEEE Computer Society",

note = "3rd International Conference on Information Fusion, FUSION 2000 ; Conference date: 10-07-2000 Through 13-07-2000",

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TY - GEN

T1 - Multi-mode detection with Markov target motion

AU - Sinno, D.

AU - Cochran, Douglas

AU - Morrell, Darryl

PY - 2000

Y1 - 2000

N2 - This paper addresses the problem of the configuration of a detection system offering multiple modes of operation that differ in their detection performance and geographical coverage. A technique for optimal mode selection based upon minimizing Bayesian risk is formulated and demonstrated for the case of a two-mode system with a moving target. The dynamics of the target are described by a Markov model.

AB - This paper addresses the problem of the configuration of a detection system offering multiple modes of operation that differ in their detection performance and geographical coverage. A technique for optimal mode selection based upon minimizing Bayesian risk is formulated and demonstrated for the case of a two-mode system with a moving target. The dynamics of the target are described by a Markov model.

KW - Attentive sensing

KW - detection

KW - resource allocation

KW - sensor management

UR - http://www.scopus.com/inward/record.url?scp=84901469899&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901469899&partnerID=8YFLogxK

U2 - 10.1109/IFIC.2000.859856

DO - 10.1109/IFIC.2000.859856

M3 - Conference contribution

AN - SCOPUS:84901469899

VL - 2

BT - Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000

PB - IEEE Computer Society

T2 - 3rd International Conference on Information Fusion, FUSION 2000

Y2 - 10 July 2000 through 13 July 2000

ER -

Multi-mode detection with Markov target motion

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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Cite this