A particle filter, sigma-point filter, and extended/linear Kalman filters with demos and utilities.
https://github.com/tuckermcclure/how-kalman-filters-work-examples
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This submission contains four general-use filters for state estimation, including:
* a particle filter (bootstrap filter),
* a sigma-point (unscented) filter,
* an extended Kalman filter,
* and a linear Kalman filter.
It also includes demonstration files for each, with many plots, animations, and code comments.
Several small utilities related to state estimation are included as well.
These files correspond to the "How Kalman Filters Work" article available here:
http://www.anuncommonlab.com/articles/how-kalman-filters-work/
Cite As
Tucker McClure (2026). Particle, Sigma-Point, and Kalman Filters (https://github.com/tuckermcclure/how-kalman-filters-work-examples), GitHub. Retrieved .
General Information
- Version 1.0.0.0 (1.8 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
