Sensor Fusion using Kalman Filter + Simulink
17 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I am trying to simulate an example explained on the website https://home.wlu.edu/~levys/kalman_tutorial/ Part 14. On this example, the author is fusion two noisy temperature measurements in order to get a filtered one using Kalman filters.
The example is simple and very well done by the author but I am facing some difficulties to implement that on Simulink.
Here is a picture of my model (I also attached the slx file):
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/194906/image.jpeg)
And this is the error:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/194908/image.jpeg)
I appreciate any help !! Thanks !!
0 commentaires
Réponse acceptée
Sambit Senapati
le 10 Sep 2018
Kalman filter block doesn't have the capability to do sensor fusion. Instead of Kalman filter block use Extended kalman filter (EKF). Multi-sensor example : this example showcases how extended kalman filter is used for sensor fusion.
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Tracking and Sensor Fusion dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!