Chingiz Hajiyev, Demet Cilden-Guler
Small Satellite Attitude Estimation with Uncertain Process Noise
Abstract. In this study the Unscented Kalman Filter (UKF) and Singular Value Decomposition (SVD) methods are integrated in the nontraditional attitude filtering algorithm to estimate a small satellite's attitude. Influence of the process noise bias type system changes to the innovation of UKF is investigated. It is proved that the bias type process noise change may be converted to the mean square of innovation of UKF and such type of changes can be compensated using the covariance scaling techniques.
Keywords: attitude estimation, process noise, unscented Kalman filter, nanosatellite, magnetometer, Sun sensor
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DOI: https://doi.org/10.54381/pci2023.05