Attitude filtering with uncertain process and measurement noise covariance using <scp>SVD</scp>‐aided adaptive <scp>UKF</scp>
From MaRDI portal
Publication:6194850
DOI10.1002/rnc.6896OpenAlexW4385068621MaRDI QIDQ6194850
Chingiz Hajiyev, Demet Cilden-Guler
Publication date: 12 March 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6896
attitude estimationmagnetometermultiple measurement scale factormultiple scale factorsrobust unscented Kalman filteringsingle-frame estimatorSun sensor
Filtering in stochastic control theory (93E11) Stochastic learning and adaptive control (93E35) Orbital mechanics (70M20)
Cites Work
- Robust Kalman filtering for small satellite attitude estimation in the presence of measurement faults
- Complete offline tuning of the unscented Kalman filter
- Fundamentals of astrodynamics and applications. With technical contributions by Wayne D. McClain.
- Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty
- A new method for the nonlinear transformation of means and covariances in filters and estimators
- Unscented and square‐root unscented Kalman filters for quaternionic systems
- Approaches to adaptive filtering
- Robust adaptive unscented Kalman filter for attitude estimation of pico satellites
This page was built for publication: Attitude filtering with uncertain process and measurement noise covariance using <scp>SVD</scp>‐aided adaptive <scp>UKF</scp>
