A calibration method for four-terminal-pair high-frequency resistance standards

1993 ◽  
Vol 42 (2) ◽  
pp. 379-384 ◽  
Author(s):  
K. Suzuki ◽  
T. Aoki ◽  
K. Yokoi
2010 ◽  
Vol 127 (3) ◽  
pp. 1980-1980 ◽  
Author(s):  
Dylan Alexander ◽  
Casey Barnard ◽  
Benjamin A. Griffin ◽  
Mark Sheplak

2020 ◽  
Author(s):  
David A. Mills ◽  
Tai-An Chen ◽  
Stephen Horowitz ◽  
William Patterson ◽  
Mark Sheplak

Author(s):  
Jong-Gun Lee ◽  
Young-Seek Chung ◽  
Jinkyu Byun ◽  
Joonho So ◽  
Chang-yul Cheon ◽  
...  

ACTA IMEKO ◽  
2012 ◽  
Vol 1 (1) ◽  
pp. 49 ◽  
Author(s):  
Gregory A Kyriazis ◽  
J Angel Moreno ◽  
Jürgen Melcher

The traceability chain to derive the capacitance unit from the quantum Hall resistance comprises some coaxial bridges. These bridges employ a main two-stage inductive voltage divider to provide the voltage ratio needed. One such divider has been recently constructed and calibrated at Inmetro. The design techniques responsible for the small ratio errors of the device and the calibration method employed are both detailed. The new divider was installed in Inmetro's two terminal-pair coaxial capacitance bridge with significant improvements in the bridge resolution and accuracy.


2019 ◽  
Vol 11 (18) ◽  
pp. 2081 ◽  
Author(s):  
Zhichao Guan ◽  
Yonghua Jiang ◽  
Jingyin Wang ◽  
Guo Zhang

Ground control points (GCPs) are generally used to calibrate the installation between the camera and star sensor of a satellite in orbit and improve the geometric positioning accuracy of the satellite. However, the use of GCPs for high-frequency calibration is difficult, and it is particularly difficult to acquire accurate GCPs for the image of a nightlight satellite. In this study, we developed a camera-star sensor installation calibration method that eliminates the need for GCPs. In the proposed method, the camera and star sensor lenses are simultaneously pointed at the star, and the camera-star sensor installation is accurately calibrated by processing the star map obtained by the camera and star sensors. Reference data such as road network and Moon position data were used to verify the proposed method and evaluate its positioning accuracy. The results of the application of the method to the positioning of the Luojia 1-01 satellite indicated an accuracy within 800 m, which is comparable with that of the traditional method.


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