Ellipsoid-Fitting Magnetometer Calibration Method Considering Misalignment and Soft-iron Distortion

Lee, Jung Keun; Jeon, Tae Hyeong

doi:10.5302/j.icros.2017.17.0081

Cited by 2 publications

(1 citation statement)

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“…Donghui Liu proposed a simplified ellipsoid fitting to calibrate magnetometers [ 15 ]; however, they could not solve the problem of misalignment angles. Lee Jung analyzed the misalignment and soft-iron distortion to calibrate magnetometers, however this is the internal misalignment error of the sensor [ 16 ]. Tandon P. proposed a method based on ellipsoid fitting [ 17 ]; ellipsoid fitting is a classical method to calibrate field vector sensors, however, projectiles cannot be installed on the calibration equipment.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Calibration Scheme for Magnetic Measurement System on Guided Munition

Xue

Zhang

2021

Sensors

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In order to calibrate the magnetic measurement system used in guided munition on site, a two-stage calibration (TSC) scheme without reference is proposed in this paper. Analyzing the interfering magnetic field in the projectile and misalignment angles between the projectile coordinate system and measurement coordinate system establishes a proper mathematical equivalent model and derives a calibration method. The first stage is ellipsoid fitting to obtain the equivalent zero-offset, equivalent sensitivity and equivalent non-orthogonal angles of the sensor; the second stage is to calibrate the misalignment angles between the projectile coordinate system and the measurement coordinate system with the three-position calibration (TPC) method. Complete calibration is convenient to operate and does not need an additional reference, which has wide applicability. The simulation results show that the deviation in the measured value after compensation is within 100 nT. The experiment proves that the error of compensated magnetic value is about 150 nT, which meets the accuracy of requirements in guided munitions.

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Section: Introductionmentioning

confidence: 99%