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Hardcover | $91.00 X | £75.95 | 472 pp. | 7 x 9 in | 42 color illus., 66 b&w illus. | July 2016 | ISBN: 9780262034005
eBook | $91.00 X | July 2016 | ISBN: 9780262335058
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Applied State Estimation and Association


Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous introduction to both theory and application of state estimation and association. It takes a unified approach to problem formulation and solution development that helps students and junior engineers build a sound theoretical foundation for their work and develop skills and tools for practical applications.

Chapters 1 through 6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation, state estimation for linear and nonlinear systems, and multiple model estimation algorithms. Chapters 7 through 10 expand the discussion to consider multiple sensors and multiple objects. The book can be used in a first-year graduate course in control or system engineering or as a reference for professionals. Each chapter ends with problems that will help readers to develop derivation skills that can be applied to new problems and to build computer models that offer a useful set of tools for problem solving. Readers must be familiar with state-variable representation of systems and basic probability theory including random and stochastic processes.

Instructor Resources for This Title:

Lecture Slides

About the Authors

Chaw-Bing Chang is a Senior Staff Member of the BMDS (Ballistic Missile Defense System) Integration Group at MIT Lincoln Laboratory. Chang has forty years of experience in applying estimation and association techniques.

Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.


“This new book by Chang and Dunn is an outstanding introduction to the general subject of linear and nonlinear estimation, data association, and multiple sensor and multiple target tracking. In addition, it provides an excellent discussion and derivation of the scoring for MHT and other tracking methods for track-to-track and measurement-to-track problems. The many illustrations provide deeper understanding of the more difficult concepts. I highly recommend the book as a textbook or a reference for the expert.”
Aubrey B. Poore, Founder and Chief Scientific Officer, Numerica Corporation
“Chang and Dunn provide a truly unique collection of topics and presentation of state estimation and association for target tracking. The authors make good use of figures and results of computer simulations to illustrate the concepts associated with target tracking.”
William Dale Blair, Principal Research Engineer, Georgia Tech Research Institute