‘Kalman Filtering with Real-Time Applications’ presents a thorough discussionof the mathematical theory and computational schemes of Kalman filtering. Thefiltering algorithms are derived via different approaches, including a directmethod consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systemswith correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge. A useful text which has been well appreciated over the years INDICE: Preliminaries.- Kalman Filter, an Elementary Approach.- OrthogonalProjection and Kalman Filter.- Correlated System and Measurement Noise Processes.- Colored Noise.- Limiting Kalman Filter.- Sequential and Square Root Algorithms.- Extended Kalman Filter and System Identification.- Decoupling of Filtering Equations.- Kalman Filtering for Interval Systems.- Wavelet Kalman Filtering.- Notes.
- ISBN: 978-3-540-87848-3
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 190
- Fecha Publicación: 01/11/2008
- Nº Volúmenes: 1
- Idioma: Inglés