484 pgs, 1997, John Wiley & Sons, Inc.
ISBN 978-0471128397

The title change of this new edition reflects the spread of Kalman filtering, thanks to modern computers, beyond navigation and determination. Newly added sample problems plus there are more example of Kalman filtering applications, including an entire new chapter on GPS. This text has enough material for a two-semester introductory course on random signal theory and optimal filtering.

TABLE OF CONTENTS

1. Probability and Random Variables: A Review
2. Mathematical Description of Random Signals
3. Response of Linear Systems to Random Inputs
4. Wiener Filtering
5. The Discrete Kalman Filter, State-Space Mode and Simulation
6. Prediction, Applications, and More Basics on Discrete Kalman Filtering
7. The Continuous Kalman Filter
8. Smoothing
9. Linearization and Additional Intermediate-Level Topics on Applied Kalman Filtering
10. More On Modeling: Integration of Noninertial Measurements Into INS
11. The Global Positioning System: A Case Study