wahba problem
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2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhuohua Liu ◽  
Wei Liu ◽  
Xiangyang Gong ◽  
Jin Wu

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.


2018 ◽  
Vol 38 (11) ◽  
pp. 1115006
Author(s):  
何颖 He Ying ◽  
马戎 Ma Rong ◽  
李岁劳 Li Suilao ◽  
郭强 Guo Qiang

2012 ◽  
Vol 35 (3) ◽  
pp. 764-773 ◽  
Author(s):  
Mark L. Psiaki ◽  
Joanna C. Hinks

2006 ◽  
Vol 54 (2) ◽  
pp. 245-259 ◽  
Author(s):  
Malcolm D. Shuster
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