Analysis and Design of the Multiple Kalman Filter for GYRO Systems
This paper presents an adapt filter system to reduce the noise of gyro system of unmanned aerial vehicle. Radial basis function network and multiply Kalman filter are used with vector acceleration and angular acceleration. The gyro noise feature can be estimated to adjust numbers of Kalman filter layers. The proposed method can increase reliability of gyro data.
Keywords- Gyro, Radial basis function kernel, Kalman Filter.