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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions, 3rd Edition
Robert Grover Brown,
Iowa State Univ.
Patrick Y. C. Hwang,
Rockwell International Corporation
ISBN: 978-0-471-12839-7
©1997
496 pages
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Table of Contents
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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 Modeling, 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
Appendix A: Laplace and Fourier Transforms
Appendix B: Typical Navigation Satellite Geometry
Appendix C: Kalman Filtering Software
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