Demet Cilden-Guler, Halil Ersin Soken, Chingiz Hajiyev, "SVD-Aided UKF for Estimation of Nanosatellite Rotational Motion Parameters," WSEAS Transactions on Signal Processing, vol. 14, pp. 27-35, 2018, DOI:
Demet Cilden-Guler, Halil Ersin Soken, Chingiz Hajiyev. SVD-Aided UKF for Estimation of Nanosatellite Rotational Motion Parameters.
WSEAS Transactions on Signal Processing. 2018;14:27-35.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 14, 2018
SVD-Aided UKF for Estimation of Nanosatellite Rotational Motion Parameters
Authors: , ,
Abstract: Singular Value Decomposition (SVD) and unscented Kalman filter (UKF) are interlaced using the Euler angles as the attitude parameter in order to estimate the satellite s angular motion parameters about center of mass. Magnetometer and sun sensor are used as the vector measurements for SVD in addition to the angular ate measurements from rate gyro for UKF; therefore, the output of the SVD shaped the nontraditional approach as SVD aided UKF algorithm using the linear measurements.
Keywords:
Satellite attitude estimation, magnetometer, sun sensor, rate gyro, unscended Kalman filter, angular velocity, nontraditional approach
Pages: 27-35 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 14, 2018, Art. #4 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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