Description: Unscented Kalman filtering tutorial: Simulink and tilt sensor case study.
It covers the development process from design, simulation, hardware-in-the-loop testing, and creating a stand-alone embedded system. The content is supposed to be as simple/introductory as possible.
1. The motivation for using Simulink for embedded system development is explained.
2. A simplified model of tilt sensor system is developed.
3. Kalman filtering and Unscented Kalman filtering (UKF) theory is summarized.
4. Graphical instructions are then provided to guide you through the whole process of implementing a Simulink model to design, simulate, and evaluate the performance of an UKF for a tilt sensor system.
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File list (Check if you may need any files):
tilt_system.mdl
AN1A Developing tilt sensor systems.pdf
compare_error_variance_1run.m
compare_error_variance_monte_carlo.m
license.txt
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