How to remove noise and drift from an acceleration data acquired from an accelerometer?

Hi everyone. I'm very new to MATLAB, so my skills are very limited. I'm working on a project using an accelerometer and I am trying to convert the acceleration data to displacement data. I know that I have to remove the noise and drift from the acceleration data and a Kalman filter is needed. However, I do not know the process of implementing the filter. Can anyone help me with this?

[Image Analyst]

Can you attach a picture of your original, noisy signal?

Answer 1

[John Petersen]

The predict state could be

a_predict = a_last
a_bias    = a_bias

That is, no change predicted. The measurement can be predicted by

a_measure = a_predict + a_bias

This is all I can do with the limited information you have provided. Then just use this in your Kalman filter equations.

Answer 2

[Osweh Razmara]

OK