The purpose of a Kalman filter is to estimate the state of a system from measurements that contain random errors. An example of this is estimating the position and velocity of a satellite from radar data. The book includes real-world problems in practice as illustrative examples and also covers the more practical aspects of implementation.
Rezensionen / Stimmen
"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." (SciTech Book News, Vol. 25, No. 3, September 2001)
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Editions-Typ
Illustrationen
Maße
Höhe: 24.3 cm
Breite: 16.5 cm
Gewicht
ISBN-13
978-0-471-39254-5 (9780471392545)
Schweitzer Klassifikation
MOHINDER S. GREWAL, PhD, PE, is Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton. He has more than thirty-five years of experience in inertial navigation and control, and his mechanizations are currently used in commercial and military aircraft, surveillance satellites, missile and radar systems, and freeway traffic control.
ANGUS P. ANDREWS, PhD, is a senior scientist at the Rockwell Science Center. His experience with aerospace systems analysis and design using Kalman filters began with his involvement in the Apollo moon project, and he is credited with the discovery of unknown landmark tracking as an orbital navigation method.
Preface. Acknowledgments. General Information. Linear Dynamic Systems. Random Processes and Stochastic Systems. Linear Optimal Filters and Predictors. Nonlinear Applications. Implementation Methods. Practical Considerations. Appendix A: MATLAB Software. Appendix B: A Matrix Refresher. References. Index.