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Cognitive Fusion for Target Tracking / by Ioannis Kyriakides.

Springer Nature Synthesis Collection of Technology Collection 9 Available online

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Format:
Book
Author/Creator:
Kyriakides, Ioannis., Author.
Series:
Synthesis Lectures on Algorithms and Software in Engineering, 1938-1735
Language:
English
Subjects (All):
Signal processing.
Signal, Speech and Image Processing .
Local Subjects:
Signal, Speech and Image Processing .
Physical Description:
1 online resource (VIII, 57 p.)
Edition:
1st ed. 2019.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
Summary:
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.
Contents:
Introduction
Cognitive Fusion
Cognitive Fusion for Target Tracking with Foveal and Radar Nodes
Conclusions
Bibliography
Author's Biography.
ISBN:
9783031015281
3031015282

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