Integration of acceleration data
Afficher commentaires plus anciens
Hello everyone,
I have an acceleration data i collected using an accelerometer. I want to integrate this acceleration data twice to get position.
I found out about the problem of acceleration drift and the initial conditions associated with accelerometers.
I tried using the 'cumtrapz','trapz' commands, then tried using the FFT filtering before integration and after but the waveform still shows sign of poor integration or I could say, the drift still persist. and i checked other responses made here but they do not seem to help.
Does anyone know a way of integrating accelerometer data that could be of help.
Thanks in advance.
Réponses (1)
Mahesh
le 2 Mai 2012
0 votes
You can try Removing the mean and trend from the signal. x=x-mean(x); x=detrend(x);
for integration you can use either cumsum or cumtrapz but problem with this function is they induce some frequency in your original signal .
you can validate this function by taking simple sine signal
Catégories
En savoir plus sur MATLAB dans Centre d'aide et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!