Error Calibration for Full Tensor Magnetic Gradiometer Probe Based on Coordinate Transformation Method

Yue, Liangguang; Cheng, Defu; Qiao, Yuxin; Zhao, Jiyong

doi:10.1109/tim.2022.3193977

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…The C method was born in the 1980s due to the need to accurately solve diffraction problems on surfaces with periodic pores [39][40][41]. Recently, this method has been used as a powerful modeling tool for three-dimensional photonic structures [42], complex geometries of diffraction gratings [43] and error calibration [44]. The main difficulty of such issues was the adaptation of border conditions.…”

Section: Methods Cmentioning

confidence: 99%

Analysis of Surface Texturing of Silicon with Surface Regular Microstructure Using C Method

et al. 2022

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Silicon, as the most abundant element in the earth’s crust and the most common material used in electronic and optical equipment, has attracted the attention of many individuals to change the properties of this material, improving its electronic and optical properties. One of these efforts relies on the reduction of surface reflection by making use of different methods. However, among them, the use of lasers in creating surface microstructures has been of special importance because there is no need for masks and other additional materials. In this work, a theoretical method is utilized to analyze these textures with the theorem of diffraction grating on a micrometer scale. The surface reflection of the microstructure created by excimer laser exposure on a silicon surface is simulated. The theoretical Coordinate transformation method (C method) gives out notable results against the experimental records by approximating triangular and trapezoidal microstructures. The model is useful for predicting the reflective response of the modified microstructural morphology. One of the main applications is the texturing of the solar cell front faces to enhance their efficiency, mainly due to photon trapping.

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Section: Methods Cmentioning

confidence: 99%

Analysis of Surface Texturing of Silicon with Surface Regular Microstructure Using C Method

et al. 2022

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“…To enhance precision even further, the decision is made to employ the least-squares method for computing the error compensation coefficient. For this algorithm, the minimum sum of error squares is the core [ 25 , 26 , 27 , 28 , 29 , 30 , 31 ]. When the range is 0°~360°, 15° is used as an interval, and a total of 24 test points are obtained.…”

Section: Design Of High-precision Portable Digital Compass Systemmentioning

confidence: 99%

Development and Application of a High-Precision Portable Digital Compass System for Improving Combined Navigation Performance

Zhang,

Cui,

Zhang

2024

Sensors

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There are not many high-precision, portable digital compass solutions available right now that can enhance combined navigation systems’ overall functionality. Additionally, there is a dearth of writing about these products. This is why a tunnel magnetoresistance (TMR) sensor-based high-precision portable digital compass system is designed. First, the least-squares method is used to compensate for compass inaccuracy once the ellipsoid fitting method has corrected manufacturing and installation errors in the digital compass system. Second, the digital compass’s direction angle data is utilized to offset the combined navigation system’s mistake. The final objective is to create a high-performing portable TMR digital compass system that will enhance the accuracy and stability of the combined navigation system (abbreviated as CNS). According to the experimental results, the digital compass’s azimuth accuracy was 4.1824° before error compensation and 0.4580° after it was applied. The combined navigation system’s path is now more accurate overall and is closer to the reference route than it was before the digital compass was added. Furthermore, compared to the combined navigation route without the digital compass, the combined navigation route with the digital compass included is more stable while traveling through the tunnel. It is evident that the digital compass system’s design can raise the integrated navigation system’s accuracy and stability. The integrated navigation system’s overall performance may be somewhat enhanced by this approach.

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“…At present, a large variety of primary magnetic field transducers (sensors) are mass-produced by industry. They differ both in their principle of operation and in the operating parameters [1,2].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Physical Quantities on Electrical Parameters of Heterometallic -Methoxy (Copper (II), Bismuth (III)) Acetylacetonate

Semenov¹,

Martyniuk²,

Evseeva³

et al. 2023

J. Nano- Electron. Phys.

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The paper presents a technique for obtaining the complex μ-methoxy (copper (II), bismuth (III)) acetylacetonate, Cu3Bi(AA)4(OCH3)5, where HAA = H3C-C(O)-CH2-C(O)-CH3, and results of studying the electrical parameters of this substance. The studied material has been established to be a semiconductor. The composition, structure, and physicochemical properties of the synthesized heterometallic -methoxy (copper (II), bismuth (III)) acetylacetonate were verified by elemental, X-ray phase, magnetochemical, IR spectroscopy and thermogravimetric examination. A molar mass and a number of valence electrons in one molecule were calculated for a selected complex compound (AA)4(OCH3)5 (І). The molar mass was equal to 950.5 g/mol, and the number of valence electrons was 229. For experimental studies, a cylindrical sample with a mass of 0.1 g and a volume of 17.67 10 -9 m 3 made of the complex compound (I) by a pressing method was utilized. Investigation of conductive properties of -methoxy (copper (II), bismuth (III)) acetylacetonate in compressed form within the temperature range 50-120 °C showed that the electrical resistivity sharply decreases from 8•10 9 to 7•10 3 Ohm•cm with increasing temperature, which is typical for semiconductor materials. Conductivities of the material were calculated considering the experimental measurements: 1 was equal to 1.25·10 -8 1/(Оhm•m) for 50 °С and 2 was equal to 1.4·10 -2 1/(Оhm•m) for 120 °С. The influence of a magnetic field on the electric field strength inside the test sample of the substance was investigated. The magnetic field induction dependence of the Hall voltage for the sample substance was obtained as well. The operating temperature range is from 50 to 220 °C, with chemical compound decomposing at 260 °C. The charge carrier concentration increases from 7.8•10 17 m -3 at 50 °C to 4.14•10 29 m -3 at 220 °C, while the Hall constant decreases from 9.43 m 3 •C -1 to 1.8•10 -11 m 3 •C -1 , when the temperature increases from 50 to 220 °C. The Hall voltage varies from 1.97•10 -5 to 1.97•10 -3 V in the magnetic field range from 0 to 1000 mT. The new magnetically sensitive element based on a synthesized semiconductor material will be used to develop magnetic field sensors.

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Error Calibration for Full Tensor Magnetic Gradiometer Probe Based on Coordinate Transformation Method

Cited by 6 publications

References 27 publications

Analysis of Surface Texturing of Silicon with Surface Regular Microstructure Using C Method

Analysis of Surface Texturing of Silicon with Surface Regular Microstructure Using C Method

Development and Application of a High-Precision Portable Digital Compass System for Improving Combined Navigation Performance

The Influence of Physical Quantities on Electrical Parameters of Heterometallic -Methoxy (Copper (II), Bismuth (III)) Acetylacetonate

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