Foundations and Applications of Sensor Management

Herausgegeben:Hero, Alfred Olivier; Castañón, David; Cochran, Doug; Kastella, Keith

• Broschiertes Buch

Produktbeschreibung

Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the field for a diverse engineering audience ranging from signal processing, to automatic control, statistics, and machine learning. The level of treatment of the book is tutorial and self-contained.

The chapters of the book follow a logical development from theoretical foundations to approximate approaches and ending with applications. The coverage includes the following topics: stochastic control foundations of sensor management; multi-armed bandits and their connections to sensor management; information-theoretic approaches; managed sensing for multi-target tracking; approximation methods based on embedded simulation; active learning for classification and sampling; and waveform scheduling for radar. An appendix is included to provide essential background on topics the reader may not have encountered as a first-year graduate student: Markov decision processes; information theory; and stopping times.

Foundations and Applications of Sensor Management is an important reference for signal processing and control engineers and researchers as well as machine learning application developers.

Produktdetails

• Signals and Communication Technology
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3911-1
• Softcover reprint of hardcover 1st ed. 2008
• Seitenzahl: 328
• Erscheinungstermin: 23. November 2010
• Englisch
• Abmessung: 235mm x 155mm x 18mm
• Gewicht: 498g
• ISBN-13: 9781441939111
• ISBN-10: 1441939113
• Artikelnr.: 32109704

Inhaltsangabe

Overview of Book.- Stochastic Control Theory for Sensor Management.- Information Theoretic Approaches to Sensor Management.- Joint Multi-Target Particle Filtering.- Pomdp Approximation Using Simulation and Heuristics.- Multi-Armed Bandit Problems.- Application of Multi-Armed Bandits to Sensor Management.- Active Learning and Sampling.- Plan-In-Advance Active Learning 0f Classifiers.- Application of Sensor Scheduling Concepts to Radar.- Defense Applications.- Appendices.