지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 267 - 272 (6page)
이용수
초록· 키워드
오류제보하기
In order to provide accuracy referential attitude of remote sensing satellite for images processing, all measurements obtained by the attitude determination system are processed offline periodically to fusion temporal information effectively. RTS (Rauch-Tung-Striebel) optimal fixed-interval smoothing algorithm based on UKF (Unscented Kalman Filter) forward filter was employed for data post-processing with considering the nonlinearity of gyro/star sensor integrated attitude determination system. The simulation results show that, compared with EKF (Extended Kalman Filter), UKF shows better performance on convergence and accuracy of attitude estimation under the condition of large initial state errors. The influence on the attitude estimation error caused by the initial state error and the sigma-points sampling distance of UKF was weakened by the RTS fixed-interval smoothing obviously, and the accuracy of the attitude estimation was improved effectively.
목차
Abstract
1. INTRODUCTION
2. URTS SMOOTHING ALGORITHM
3. SATELLITE DETERMINATION MODEL
4. SIMULATION
5. CONCLUSIONS
REFERENCES
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