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.

• | Author: Zhongliang Jing, Han Pan, Yuankai Li
• | Publisher: Springer
• | Publication Date: Jan 10, 2019
• | Number of Pages: 359 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 3030080811
• | ISBN-13: 9783030080815