MIT Lincoln Laboratory releases the latest volume in its book series
Textbook is an introduction to techniques for both estimating the state of a system and associating measurements from multiple systems.
MIT Lincoln Laboratory announces the publication of Applied State Estimation and Association, a comprehensive text on the theory and application of state estimation and association, coauthored by Lincoln Laboratory researchers Chaw-Bing Chang and Keh-Ping Dunn, each of whom has more than 40 years of experience in these techniques.
This book is the fourth in the MIT Lincoln Laboratory Series, a collection that presents the Laboratory's fundamental research conducted in support of national security. Published by MIT Press and authored by Lincoln Laboratory experts, occasionally with contributions from eminent colleagues in academia and industry, the books are intended as resources for researchers, engineers, and university educators and students.
Practicing engineers in aerospace, electronics, and defense industries will find Applied State Estimation and Association a valuable reference to inform work in signal processing, tracking, and navigation. The book can also be used in a first-year graduate course in control systems engineering. Each chapter ends with problems that will help students develop skills that can be applied to new problems and that can be employed to build computer models for problem solving.
Early chapters focus on solving the problem of estimation with a single sensor observing a single object and cover topics such as parameter estimation, state estimation for linear and nonlinear systems, multiple model-estimation algorithms, and sampling techniques for state estimation. Later chapters expand the discussion to consider the state association problem posed by multiple sensors and multiple objects.
The book may be purchased online through MIT Press at https://mitpress.mit.edu/books/applied-state-estimation-and-association.
Posted July 2016
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