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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2019-04-15
Calibration Uncertainty Evaluationof d -Dot Sensors
By
Fanghong Huang,

    Dr. Fanghong Huang

    Northwest Institute of Nuclear Technology

    China

    Homepage

Youjie Yan,

    Dr. Youjie Yan

    Northwest Institute of Nuclear Technology

    China

    Homepage

Jin Chen,

    Dr. Jin Chen

    Northwest Institute of Nuclear Technology

    China

    Homepage

Zhen Liu,

    Dr. Zhen Liu

    Northwest Institute of Nuclear Technology

    China

    Homepage

Binwen Wang

    Dr. Binwen Wang

    Northwest Institute of Nuclear Technology

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 83, 115-122, 2019
doi:10.2528/PIERL18100502 | Google Scholar

Abstract
D-dot sensor is a type of differential sensor that is widely used in the measurement of ultra-wide band (UWB) pulse electric field. The output of the sensor needs to be integrated to rebuild the original electric field. According to the methods of integration, the measurement system based on D-dot sensor can be classified into software integral D-dot measurement (SIDM) system and hardware integral D-dot measurement (HIDM) system. For an SIDM system, the accuracy of calibration, which is influenced by the integral error of the recovery signal, unfortunately, remains an impediment to its practical application. In this paper, a calibration uncertainty evaluation method based on a standard field generating equipment of time-domain electromagnetic pulse is investigated. The level of the integral error is determined by constructing a noise model using the calibration method. In the process of modeling, the characteristics of the background noise are analyzed first. Additionally, a random signal model taking background noise into account is built, and the integral value of the background noise is derived. Moreover, the integral error model is verified by a statistical method using tested data. After modeling, the uncertainty of the equivalent area for a real D-dot sensor in a software integral system and the methods for reducing the uncertainty are illustrated according to the integral error model.
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Citation
Fanghong Huang, Youjie Yan, Jin Chen, Zhen Liu, and Binwen Wang, "Calibration Uncertainty Evaluationof d -Dot Sensors," Progress In Electromagnetics Research Letters, Vol. 83, 115-122, 2019.
doi:10.2528/PIERL18100502
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