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I am getting a signal from a device. This signal contains a non-random noise signal in it. I want to remove that noise from the signal. This noise is correlated to the motion the device is having. So now I've attached a accelerometer to the device to measure the motion produced by the device. I'm getting the data of X, Y, Z-axis from 3-axis accelerometer.

Now here is the process I thought to remove the noise.First get a motion signal from the 3 axis data which correlate to the motion noise present in the main signal. Then pass the main signal and the correlated noise signal through a LMS filter to get a filtered data. I've already designed a LMS filter but I'm stuck at how to get the motion signal(from the data of the 3-axis from accelerometer) which will correlate to the motion noise present in the main signal.

Can anyone help me with this plz??

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  • $\begingroup$ do you know how the noise is correlated to the motion? does it depend on acceleration, orientation, velocity, etc? $\endgroup$
    – geometrikal
    Commented Jul 8, 2014 at 14:18
  • $\begingroup$ For motion signal did you try magnitude of 3-axis accelerometer data i.e. sqrt(X^2 + Y^2 + Z^2) as feed to the LMS filter? What does the LMS filter produce? $\endgroup$
    – Naveen
    Commented Apr 13, 2015 at 3:23

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Motion can be described using displacement with time, velocity or acceleration. To get these quantities from the accelerometer data the following link may help. http://www.chrobotics.com/library/accel-position-velocity

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  • $\begingroup$ Looks like gyroscope would be needed to define the rotation matrix for conversion of accelerometer data from inertial plane to body plane. Is there any way to get a approximate estimate of the rotation matrix using only the accelerometer data? $\endgroup$
    – Naveen
    Commented May 4, 2015 at 19:36

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