Nontraditional UKF Based Nanosatellite Attitude Estimation with the Process and Measurement Noise Covariances Adaptation

Date

2017-01-01

Author

Hacızade, Cengiz
Guler, Demet Cilden
Söken, Halil Ersin

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this study, we add on to our previous researches for non-traditional filtering the investigation of measurement and process noise covariance adaptation and propose an Adaptive Unscented Kalman Filter (AUKF) for nanosatellite attitude estimation. Singular Value Decomposition (SVD) method runs using the magnetometer and sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite giving one estimate at a single-frame. Then these estimated attitude terms are given as input to the AUKF. In the result, the attitude and attitude rates of the satellite are estimated reliably in the whole orbital period.

URI

https://hdl.handle.net/11511/69764

DOI

https://doi.org/10.1109/rast.2017.8003009

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Department of Aerospace Engineering, Conference / Seminar

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Citation Formats

C. Hacızade, D. C. Guler, and H. E. Söken, “Nontraditional UKF Based Nanosatellite Attitude Estimation with the Process and Measurement Noise Covariances Adaptation,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69764.