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

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Joel Tan
Joel Tan 2014-6-20
回答： Osweh Razmara 2015-1-13
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?

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回答（2 个）

John Petersen
John Petersen 2014-7-28
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.
Osweh Razmara
Osweh Razmara 2015-1-13
OK

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