Foundations and Applications of Sensor Management (eBook, PDF)

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

• Format: PDF

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 310
• Erscheinungstermin: 23. Oktober 2007
• Englisch
• ISBN-13: 9780387498195
• Artikelnr.: 37286791

Autorenporträt

Alfred Olivier Hero, University of Michigan, Ann Arbor, MI,USA / Keith Kastella, General Dynamics Advanced Information Systems, Ypsilanti, MI, USA / David Castanon, Boston University, Boston, MA, USA / Doug Cochran, Arizona State University, Tempe, AZ, USA

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 Learning.- Sensor Scheduling in Radar.- Defense Applications.