Attitude Heading Reference System using Kalman Filter

In this project, I have developed an AHRS with Linear Kalman Filter. A clear documentation on how I built it is given as a blog.

https://technoo7blogs.blogspot.com/2022/08/attitude-heading-reference-system.html

Vous suivez désormais cette soumission

This project will help you understand on how to intuitively develop a sensor fusion algorithm using linear kalman filter that estimates Roll, Pitch and Yaw of the vehicle with accelerometer, gyroscope and magnetometer as sensor inputs. The sensor data is used from a smartphone using MATLAB Support Package for Android Sensors. Realtime sensor fusion is also possible using this algorithm.
Check out the complete documentation:

Citation pour cette source

Farhan Ahamed (2026). Attitude Heading Reference System using Kalman Filter (https://fr.mathworks.com/matlabcentral/fileexchange/116295-attitude-heading-reference-system-using-kalman-filter), MATLAB Central File Exchange. Extrait(e) le .

Remerciements

Inspiré par : Smart Phone AHRS

A inspiré : TRACKING A TARGET TRAJECTORY USING KALMAN FILTER

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec les versions R2017b et ultérieures

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0.1

Updated documentation

1.0.0