KalmanFilter

A Kalman Filter in Simulink for easier understanding.
506 Downloads
Aktualisiert 24. Nov 2020

Although the characteristics of a Kalman filter are well documented and understandable after reading a few papers and books, I had quite a hard time understanding the information flow entirely. The main reason for that was the confusing notation to distinguish between predicted and measured values, as well as future and past values. Therefore I made a small Simulink Model, which should help explaining the information flow and understanding the equations of Kalman filtering.

References:
https://www.kalmanfilter.net/default.aspx [2020]
"Kalman-Filter" by Reiner Marchthaler and Sebastian Dingler. Springer Fachmedien Wiesbaden

Zitieren als

Michael Meiler (2025). KalmanFilter (https://github.com/m31L3r/KalmanFilter/releases/tag/v1.1), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
1.1

See release notes for this release on GitHub: https://github.com/m31L3r/KalmanFilter/releases/tag/v1.1

1.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.