Saturday, October 03, 2009

Learning Kalman Filter

After some research for what and advice for how, the data smoothing will be done with Kalman filter.

Some filter modeling tested in Octave:

Filter modeled to trust sensor measurements over state prediction (motor off) .

Filter modeled to trust state prediction over noisy measurements (motor on).

Next stop, implementation in to the sensors app, check time complexity and take measurements with known positions (for reference and better filter model) for dynamic adaptation.

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