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.

Journal article(s) based on this preprint

15 Sep 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
Geosci. Instrum. Method. Data Syst., 12, 201–213, https://doi.org/10.5194/gi-12-201-2023,https://doi.org/10.5194/gi-12-201-2023, 2023
Short summary

Nicholas Belsten et al.

Interactive discussion

Status: closed

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

Interactive discussion

Status: closed

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nicholas Belsten on behalf of the Authors (02 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Jun 2023) by Valery Korepanov
AR by Nicholas Belsten on behalf of the Authors (19 Jun 2023)

Journal article(s) based on this preprint

15 Sep 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
Geosci. Instrum. Method. Data Syst., 12, 201–213, https://doi.org/10.5194/gi-12-201-2023,https://doi.org/10.5194/gi-12-201-2023, 2023
Short summary

Nicholas Belsten et al.

Nicholas Belsten et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

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.