Kalman Filtering: Theory and Practice with MATLAB, 4e
Mohinder S. Grewal, California State University at Fullerton;
Angus P. Andrews, Rockwell Science Center (Retired)
John Wiley & Sons, Inc., 2015
ISBN: 978-1-118-85121-0;
Language: English
Kalman Filtering: Theory and Practice with MATLAB contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control.
Kalman Filtering is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
The book includes a companion website with MATLAB examples.
