Optimal Attitude Determination from Vector Sensors Using Fast Analytical Singular Value Decomposition

المؤلفون المشاركون

Gong, Xiangyang
Wu, Jin
Liu, Zhuohua
Liu, Wei

المصدر

Journal of Sensors

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-06-27

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A novel algorithm is proposed in this paper to solve the optimal attitude determination formulation from vector observation pairs, that is, the Wahba problem.

We propose here a fast analytic singular value decomposition (SVD) approach to obtain the optimal attitude matrix.

The derivations and mandatory proofs are presented to clarify the theory and support its feasibility.

Through simulation experiments, the proposed algorithm is validated.

The results show that it maintains the same attitude determination accuracy and robustness with conventional methodologies but significantly reduces the computation time.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Liu, Zhuohua& Liu, Wei& Gong, Xiangyang& Wu, Jin. 2018. Optimal Attitude Determination from Vector Sensors Using Fast Analytical Singular Value Decomposition. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201811

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Liu, Zhuohua…[et al.]. Optimal Attitude Determination from Vector Sensors Using Fast Analytical Singular Value Decomposition. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1201811

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Liu, Zhuohua& Liu, Wei& Gong, Xiangyang& Wu, Jin. Optimal Attitude Determination from Vector Sensors Using Fast Analytical Singular Value Decomposition. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201811

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1201811