Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
| Editörler | M.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 381-386 |
| Sayfa sayısı | 6 |
| ISBN (Elektronik) | 9781538616031 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 4 Ağu 2017 |
| Etkinlik | 8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey Süre: 19 Haz 2017 → 22 Haz 2017 |
Yayın serisi
| Adı | Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
|---|
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| ???event.eventtypes.event.conference??? | 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Istanbul |
| Periyot | 19/06/17 → 22/06/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
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