Kalman Filter Extension and Nonlinear Filters for Sensor Data Processing
Emil Iontchev, Rosen Miletiev, Petar Kapanakov and Lachezar Hristov
Journal of Information Organization, Vol. 13, No. 2, 2023.
DOI: https://doi.org/10.6025/jio/2023/13/2/43- 52
Link: https://www.dline.info/jio/fulltext/v13n2/jiov13n2_2.pdf
Abstract:
Kalman Filter Extension is used to fix the object position in the space for which we added sensor data and developed proper algorithms. The two filters, Non-linear Kalman and Linear are employed to study. To fix the magnetometer data, the external magnetic disturbances rejection is studied for which algorithms are used. For accelerometer data, a lowpass filter is used. Both stationary and dynamic platforms are considered to measure the rotation angles of the car seats.