Non-Cooperative Target Tracking, Fusion and Control : Algorithms and Advances /

This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture c...

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Bibliographic Details
Main Authors: Jing, Zhongliang (Author), Pan, Han (Author), Li, Yuankai (Author), Dong, Peng (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Series:Information Fusion and Data Science.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.
Item Description:Electronic resource.
Physical Description:1 online resource (XIX, 340 pages 142 illustrations, 80 illustrations in color) : online resource.
ISBN:9783319907161
ISSN:2510-1528
DOI:10.1007/978-3-319-90716-1