Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques*

James Llinas; Capt Lori McConnell; Christopher L. Bowman; David L. Hall; Paul Applegate

doi:10.1201/9781420053098-28

Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques^*

James Llinas
, Capt Lori McConnell
, Christopher L. Bowman
, David L. Hall
, Paul Applegate

Department of Industrial and Systems Engineering

USAF/Space Warfare Center
Data Fusion and Neural Networks
Pennsylvania State University
SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The correlation problem is one in which both measurements from multiple sensors and additional inputs from multiple nonsensor sources must be optimally allocated to estimation processes that produce (through data/information fusion techniques) fused parameter estimates associated with hypothetical targets and events of interest. In the most general sense, this problem is one of combinatorial optimization, and the solution strategies involve application and extension of existent methods of this type.

Original language	English
Title of host publication	Handbook of Multisensor Data Fusion
Subtitle of host publication	Theory and Practice: Second Edition
Publisher	CRC Press
Pages	597-618
Number of pages	22
ISBN (Electronic)	9781420053098
ISBN (Print)	9781420053081
DOIs	https://doi.org/10.1201/9781420053098-28
State	Published - Jan 1 2008

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10.1201/9781420053098-28

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abstract = "The correlation problem is one in which both measurements from multiple sensors and additional inputs from multiple nonsensor sources must be optimally allocated to estimation processes that produce (through data/information fusion techniques) fused parameter estimates associated with hypothetical targets and events of interest. In the most general sense, this problem is one of combinatorial optimization, and the solution strategies involve application and extension of existent methods of this type.",

author = "James Llinas and McConnell, \{Capt Lori\} and Bowman, \{Christopher L.\} and Hall, \{David L.\} and Paul Applegate",

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doi = "10.1201/9781420053098-28",

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Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques^*. / Llinas, James; McConnell, Capt Lori; Bowman, Christopher L. et al.
Handbook of Multisensor Data Fusion: Theory and Practice: Second Edition. CRC Press, 2008. p. 597-618.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Applegate, Paul

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AB - The correlation problem is one in which both measurements from multiple sensors and additional inputs from multiple nonsensor sources must be optimally allocated to estimation processes that produce (through data/information fusion techniques) fused parameter estimates associated with hypothetical targets and events of interest. In the most general sense, this problem is one of combinatorial optimization, and the solution strategies involve application and extension of existent methods of this type.

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ER -

Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques^*

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