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.