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I know it is a generic question but I did not find a specific answer to it online.

My question is: I have a range sensor based on the time of flight (Infrared Sensor. Transmitter-Reflector-Receiver). I know the time at which I take my range measurements and I would like to get the velocity measurements.

Doing a simple derivative is not enough because the sensor gives me a lot of noise and therefore I would like to add a filter to my distance measurement and I would like to know what is the best way to get velocity measurements from distance measurements (+time), which kind of filter would you use on the distance measurements before doing the derivative.

My simple reply would be: "a low pass filter" My slightly-more-complicated-reply would be: "a kalman filter, with acceleration equal to zero, which will be an optimal low pass filter if the acceleration is always around zero."

What do you think?

thanks for any advice!

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  • $\begingroup$ This question shows how to implement a Kalman filter, though if you are sure the acceleration is zero you can probably simplify it. $\endgroup$ – Peter K. Nov 2 '16 at 18:39

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