Preprints
https://doi.org/10.5194/egusphere-2023-588
https://doi.org/10.5194/egusphere-2023-588
29 Mar 2023
 | 29 Mar 2023

Verification and Calibration of a Commercial Anisotropic Magnetoresistive Magnetometer by Multivariate Non-linear Regression

Nicholas Belsten, Mary Knapp, Rebecca Masterson, Cadence Payne, Kristen Ammons, Frank D. Lind, and Kerri Cahoy

Abstract. Commercially available anisotropic magnetoresistive (AMR) magnetometers exhibit order 1 nano-Tesla (nT) sensitivity in small size, weight, and power (SWaP) packages. However, AMR magnetometer accuracy is diminished by properties such as static offsets, gain uncertainty, cross-axis coupling, and temperature effects. This work presents a measurement of the magnitude of these effects for a Honeywell HMC1053 magnetometer and evaluates a method for calibrating the observed effects by multivariate non-linear regression using a 27 parameter measurement equation.

The presented calibration method has reduced the vector norm of the root mean square error from 4.3 µT to 0.072 µT for the data acquired in this experiment. This calibration method has been developed for use on the AERO-VISTA CubeSat missions, but the methods and results may be applicable to other resource constrained magnetometers whose accuracies are limited by the offset, gain, off-axis, and thermal effects similar to the HMC1053 AMR magnetometer.

Nicholas Belsten et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-588', Anonymous Referee #1, 10 Apr 2023
    • AC1: 'Reply on RC1', Nicholas Belsten, 02 Jun 2023
  • RC2: 'Comment on egusphere-2023-588', Anonymous Referee #2, 30 Apr 2023
    • AC2: 'Reply on RC2', Nicholas Belsten, 02 Jun 2023
  • AC3: 'Difference file for egusphere-2023-588', Nicholas Belsten, 02 Jun 2023

Nicholas Belsten et al.

Nicholas Belsten et al.

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Short summary
The AERO and VISTA spacecraft will use commercial magnetometers to measure space weather events near Earth’s aurora. The small size of AERO and VISTA necessitate the use of magnetometers with small size, weight, and power. The magnetometers selected exhibit good precision, but additional calibration is needed to achieve good accuracy. This work reports on a method for calibration by regression which has reduced the magnetic observed error by a factor of ~50, meeting mission requirements.