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Proceedings Paper

An improved self-calibration algorithm for multilateration coordinates measuring system
Author(s): Dongjing Miao; Guolei Wang; Jianshuan Li; Mingzhao He; Yao Kang
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Paper Abstract

It is difficult for the traditional self-calibration algorithm to achieve high precision calibration when measuring over a wide range. To overcome this shortcoming, an improved self-calibration algorithm for multilateration coordinates measuring system is proposed. Different from the traditional self-calibration algorithm, the improved algorithm preselect certain calibration points which is fixedly mounted on stable base, the lengths between specific points are measured precisely by laser interference method. Then the precise lengths are taken as a part of optimization objective function, and then the system parameters are determined by iterative computation. The effectiveness of the proposed algorithm is verified by simulations and experiments. The results show that by using the improved algorithm, the max error is only 8.9μm, the improved algorithm helps to improve the accuracy of the multilateration system significantly.

Paper Details

Date Published: 27 September 2016
PDF: 7 pages
Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96840P (27 September 2016); doi: 10.1117/12.2243433
Show Author Affiliations
Dongjing Miao, National Institute of Metrology (China)
Guolei Wang, Tsinghua Univ. (China)
Jianshuan Li, National Institute of Metrology (China)
Mingzhao He, National Institute of Metrology (China)
Yao Kang, National Institute of Metrology (China)


Published in SPIE Proceedings Vol. 9684:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Yudong Zhang; Fan Wu; Ming Xu; Sandy To, Editor(s)

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