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A Decoupled Calibration Method Based on the Multi-Output Support Vector Regression Algorithm for Three-Dimensional

Wei Zhao1, Zhizhong Li1, Haitao Zhang1

  • 1National Defense Engineering College, Army Engineering University of PLA, Nanjing 210007, China.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new calibration method for three-dimensional electric field sensors, significantly reducing errors caused by coupling interference. The approach enhances measurement accuracy for electric field intensity.

Keywords:
decoupled calibrationinverse matrixmulti-output support vector regressionthree-dimensional electric-field sensorν-SVR

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Area of Science:

  • Electrical Engineering
  • Metrology
  • Signal Processing

Background:

  • Measured accuracy of electric field intensity is compromised by coupling interference from sensor output signals in three-dimensional electric field components.
  • Existing calibration methods may not adequately address these coupling errors, leading to reduced measurement precision.

Purpose of the Study:

  • To analyze the causes of coupling errors in three-dimensional electric field sensors.
  • To propose and validate a novel decoupled calibration method using a support vector regression algorithm to improve measurement accuracy.

Main Methods:

  • Analysis of coupling error sources in three-dimensional electric field measurements.
  • Development of a decoupled calibration method employing the ν-support vector regression (ν-SVR) algorithm to determine the optimal decoupling calibration matrix.
  • Design of a rotary calibration device for precise angle measurement and establishment of an accurate theoretical electric field model.

Main Results:

  • The proposed ν-SVR algorithm successfully obtained an optimal decoupling calibration matrix, avoiding complex inverse calculations and reducing computational errors.
  • Experimental results demonstrated significantly smaller errors between calculated and theoretical electric field components compared to the traditional inverse matrix calibration method.
  • The accuracy of the calibration and the overall three-dimensional electric field intensity measurements were substantially improved.

Conclusions:

  • The decoupled calibration method based on support vector regression effectively mitigates coupling interference in three-dimensional electric field sensors.
  • The developed method offers improved accuracy and reliability for electric field intensity measurements.
  • The study validates the rationality and effectiveness of the proposed calibration technique.