Brown, Hwang:

Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises, 4th Edition

Student Companion Site

Table Of Contents

Chapter 1: Probability and Random Variables: A Review

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Chapter 2: Mathematical Description of Random Signals

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Chapter 3: Linear Systems Response, State-space Modeling and Monte Carlo Simulation

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Chapter 4: Discrete Kalman Filter Basics

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Chapter 5: Intermediate Topics on Kalman Filtering

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Chapter 6: Smoothing and Further Intermediate Topics

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Chapter 7: Linearization, Nonlinear Filtering and Sampling Bayesian Filters

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Chapter 8: the "Go-Free" Concept, Complementary Filter and Aided Inertial Examples

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Chapter 9: Kalman Filter Applications to the GPS and Other Navigation Systems

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