Weighted least-squares fitting of circles with variance component estimation

Xing Fang, Yu Hu, Wenxian Zeng*, O. Akyilmaz

*Bu çalışma için yazışmadan sorumlu yazar

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2 Atıf (Scopus)

Özet

Although the least-squares (LS) circle fit has been widely used, the weighted LS fitting of circle is not thoroughly investigated, in particular, when the prior weight information is only partly known. Based on the Gauss–Helmert model (GHM), we first investigate the invariance on translation and rotation. The results show that though the translational invariance holds, the rotation invariance is broken except for some specific weight structures. As the main finding of this paper, we develop the VCE theory directly adapting to the nonlinear GHM representation of the circle fitting problem where the weight information is not exactly known. In the simulated example and the real applications, we show that: (1) The conclusions about the invariance of translation and rotation are validated. (2) The estimated variance components can perfectly represent the uncertainty of different point groups or different coordinate components from the statistical perspective.

Orijinal dilİngilizce
Makale numarası112132
DergiMeasurement: Journal of the International Measurement Confederation
Hacim205
DOI'lar
Yayın durumuYayınlandı - Ara 2022

Bibliyografik not

Publisher Copyright:
© 2022 Elsevier Ltd

Finansman

We would like to dedicate this work to our teacher Dr. Peiliang Xu on his 60th birthday. This work was supported by the National Natural Science Foundation of China ( 42174049 ; 42274007 ).

FinansörlerFinansör numarası
National Natural Science Foundation of China42274007, 42174049

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