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Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science)
Zhongliang Jing; Han Pan; Yuankai Li (Autor)
·
Springer
· Tapa Blanda
Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science) - Zhongliang Jing; Han Pan; Yuankai Li
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Reseña del libro "Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science)"
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.