An Introduction to Kalman Filtering with MATLAB Examples
Abstract
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...
Paper Details
Title
An Introduction to Kalman Filtering with MATLAB Examples
Published Date
Sep 30, 2013
Volume
6
Issue
2
Pages
1 - 81
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