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I tell you about Data alignment method using Kalman filter.
Kalman filter is a recursive algorithm used for estimating the system's state, particularly effective in providing accurate state estimation by integrating sensor data and prediction models.
The algorithm consists of two stages: prediction and update.
Prediction stage forecasts the value and accuracy of the current state variables.
Update stage updates the current state variable by reflecting the difference between the predicted measurement based on the previously estimated state variables and the actual measurement after the actual measurement of the current state variable.
To combine GPS and IMU, overcoming their respective limitations in indoor positioning.
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IEEE/ICACT20240333 Slide.05
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