NV Vector Magnetometer Calibration for Non-Orthogonal Error Correction
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Solution Overview
Problem
Existing NV magnetometers suffer from manufacturing errors such as non-orthogonal, scale factor, and zero-bias errors, which affect measurement accuracy and hinder their application in high-precision magnetic field measurements.
Innovation Solution
An error calibration method using an ellipsoid fitting approach based on a least square method to evaluate and correct these errors, involving the construction of an error expression and fitting magnetic field data to determine error coefficients, thereby improving measurement precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If NV magnetometer is used for high precision magnetic field measurement, then sensitivity and working adaptability are improved, but manufacturing errors (non-orthogonal error, scale factor error, zero-bias error) worsen measurement accuracy
Solution Approach 1:
The patent applies preliminary action by performing error calibration before actual measurement. The calibration process pre-determines error coefficients (non-orthogonal error coefficient, scale factor error coefficient, and zero-bias error coefficient) that are then used to correct subsequent measurements. This preliminary correction action eliminates the negative impact of manufacturing errors on measurement reliability.
2Measurement precision
If ellipsoid fitting method with least square method is applied to calibrate errors, then measurement accuracy is improved, but device complexity and calibration process complexity increase
Solution Approach 1:
The patent applies parameter changes by transforming the calibration problem into a mathematical optimization problem. The ellipsoid fitting method changes the parameters of the magnetic field data representation from raw measurements to fitted ellipsoid parameters, while the least square method provides a systematic approach to determine optimal error coefficients. This mathematical transformation simplifies the calibration process despite the increased computational steps.
Data Source
AI summary
An error calibration method of a nitrogen-vacancy center (NV) vector magnetometer is disclosed. The method includes acquiring corresponding magnetic field intensity NV vector magnetometer measured data in various postures and constructing an error expression of the NV vector magnetometer. The error expression of the NV vector magnetometer is a relational expression among the magnetic field intensity measured data, magnetic field intensity real data and an error coefficient and the error coefficient includes a combination coefficient and a zero-bias error coefficient. All the magnetic field intensity measured data are fit based on an ellipsoid fitting method. The error coefficient is solved to obtain a determined error coefficient. The determined error coefficient is substituted into the error expression of the NV vector magnetometer to obtain an error model of the NV vector magnetometer. The magnetic field intensity measured data is substituted into the error model of the NV vector magnetometer.