Statistical Multisource-Multitarget Information Fusion

The subject of this book is nite set statistics (FISST) ,recently developed theory that unies much of information fusion under a single probabilistic—in fact, Bayesian—paradigm. It does so by directly generalizing the “statistics 101” formalism that most signal processing practitioners learn as undergraduates.Since its introduction in 1994, FISST has addressed an increasingly comprehensive expanse of information fusion, including multitarget-multisource integration (MSI), also known as level 1 fusion; expert systems theory; sens or management for level 1 fusion, including management of dispersed mobile sensors; group target detection, tracking, and classication; robust automatic target recognition;and scientic performance evaluation. Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. It is used by signal processing engineers and information operations specialists to help them make decisions involving tasks like sensor management, tracking, and system control. This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST) - a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates. The book helps professionals use FISST to create efficient information fusion systems that can be implemented to address real-world challenges in the field.