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Wahba's problem : ウィキペディア英語版
Wahba's problem

In applied mathematics, Wahba's problem, first posed by Grace Wahba in 1965, seeks to find a rotation matrix (special orthogonal matrix) between two coordinate systems from a set of (weighted) vector observations. Solutions to Wahba's problem are often used in satellite attitude determination utilising sensors such as magnetometers and multi-antenna GPS receivers. The cost function that Wahba's problem seeks to minimise is as follows:
: J(\mathbf) = \frac \sum_^ a_k|| \mathbf_k - \mathbf \mathbf_k ||^2
where \mathbf_k is the ''k''-th 3-vector measurement in the reference frame, \mathbf_k is the corresponding ''k''-th 3-vector measurement in the body frame and \mathbf is a 3 by 3 rotation matrix between the coordinate frames. a_k is an optional set of weights for each observation.
A number of solutions to the problem have appeared in literature, notably Davenport's q-method, QUEST and singular value decomposition-based methods.
== Solution by Singular Value Decomposition ==

One solution can be found using a singular value decomposition as reported by (Markley )
1. Obtain a matrix \mathbf as follows:
\mathbf = \sum_^ a_i \mathbf_i ^T
2. Find the singular value decomposition of \mathbf
\mathbf = \mathbf \mathbf \mathbf^T
3. The rotation matrix is simply:
\mathbf = \mathbf \mathbf \mathbf^T
where \mathbf = \operatorname(\begin 1 & 1 & \det(\mathbf) \det(\mathbf)\end)

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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