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Cognitive fusion for target tracking /
~
Kyriakides, Ioannis,
Cognitive fusion for target tracking /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cognitive fusion for target tracking // Ioannis Kyriakides.
Author:
Kyriakides, Ioannis,
Description:
1 online resource (67 p.)
Subject:
Tracking radar - Mathematics. -
Online resource:
https://portal.igpublish.com/iglibrary/search/MCPB0006495.html
ISBN:
1681736659
Cognitive fusion for target tracking /
Kyriakides, Ioannis,
Cognitive fusion for target tracking /
Ioannis Kyriakides. - 1 online resource (67 p.) - Synthesis lectures on algorithms and software in engineering. - Synthesis lectures on algorithms and software in engineering..
Includes bibliographical references and index.
The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
Mode of access: World Wide Web.
ISBN: 1681736659Subjects--Topical Terms:
1292107
Tracking radar
--Mathematics.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TK6580
Dewey Class. No.: 621.3848
Cognitive fusion for target tracking /
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Ioannis Kyriakides.
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The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
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https://portal.igpublish.com/iglibrary/search/MCPB0006495.html
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