An Introduction to Kalman Filtering with MATLAB Examples

by Andreas Spanias, Mahesh Banavar, Narayan Kovvali

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications, e.g., target tracking, guidance and navigation, and communications systems. The purpose of this book is to present a brief introduction to Kalman...

• Format: Paperback
• Language: English
• ISBN: 3031014081
• ISBN13: 9783031014086
• Release Date: October 2013
• Publisher: Springer
• Length: 71 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.2" x 7.5" x 9.3"