A survey of calibration algorithms for small satellite magnetometers

Söken, Halil Ersin

doi:10.1016/j.measurement.2017.10.017

Cited by 21 publications

(5 citation statements)

References 33 publications

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“…The goal of calibration is to estimate the calibration parameter. Geomagnetic sensor calibration methods use geomagnetic sensing field mea-surements to estimate unknown calibration parameters [19]. Calibration is considered a parameter optimization problem via maximum likelihood estimation (MLE) and an optimization algorithm [20], derived using gradient and Newton descent methods.…”

Section: Amentioning

confidence: 99%

Intelligent Geomagnetic Indoor Positioning System

Kuo

2023

Electronics

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In the past, several firefighters have died in disaster relief operations. Although the firefighters were fully equipped, the scene of the disaster was smoky and disorienting, making the firefighters unable to identify their location. The commander wanted to direct the firefighters outside but could not confirm the correct location of the firefighters, causing delays in rescue. GPS cannot support indoor positioning or preset indoor positioning facilities at the moment of fire extinguishing. However, geomagnetism is everywhere, and it can be used to identify one’s location. Unfortunately, due to the uncertainty of the magnetic field strength, indoor geomagnetism is affected by the building environment, and the existing magnetic positioning methods have difficulty obtaining a location. To solve this problem, we propose a new incremental indoor localization scheme based on the difference in geomagnetic intensity. The proposed method achieves indoor localization in 2D environments successfully. The novelty of our geomagnetic indoor positioning system is that it can perform indoor positioning without adding any indoor positioning facilities, and the accuracy can reach 0.8~1.5 m. This article aims to verify that the geomagnetic turbulence filtering algorithm can filter out abnormal geomagnetic intensity, that the incremental algorithm can estimate the position of human motion, and that geomagnetism can be used for indoor positioning without any preset infrastructure. The contribution of this paper is that we have developed a practical system that can be used without any infrastructure and can be used for indoor positioning with meter-level accuracy. The geomagnetic indoor positioning system can be integrated with a wireless network and applied to disaster relief.

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Section: Amentioning

confidence: 99%

Intelligent Geomagnetic Indoor Positioning System

Kuo

2023

Electronics

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“…The matrix C can represent many physical operations, such as the coordinate frame rotation (as is done for attitudeindependent methods; Alonso and Shuster, 2002), nonorthogonality, misalignment, and scaling (Soken, 2018). Outside of the instrument itself, soft iron errors also create offaxis terms in the same sensitivity matrix (Elkaim, 2002).…”

Section: Calibrationmentioning

confidence: 99%

“…Outside of the instrument itself, soft iron errors also create offaxis terms in the same sensitivity matrix (Elkaim, 2002). Each of these effects can be parameterized with their own structured matrix (see, for example, Soken, 2018). The rightward multiplication of all leading matrices results in one final 3 × 3 matrix in our calibration equation, which accounts for the combined effects of misalignment, non-orthogonality, scaling, and soft iron interference.…”

Section: Calibrationmentioning

confidence: 99%

Verification and calibration of a commercial anisotropic magnetoresistive magnetometer by multivariate non-linear regression

Belsten,

Knapp,

Masterson

et al. 2023

Geosci. Instrum. Method. Data Syst.

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Abstract. Commercially available anisotropic magnetoresistive (AMR) magnetometers exhibit on the order of 1 nanotesla (nT) sensitivity in small size, weight, and power (SWaP) packages. However, AMR magnetometer accuracy is diminished by properties such as static offsets, gain uncertainty, off-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 24-parameter measurement equation. The presented calibration method has reduced the vector norm of the root mean square error from 4300 to 72 nT for the data acquired in this experiment. This calibration method has been developed for use on the AERO (Auroral Emissions Radio Observer) and VISTA (Vector Interferometry Space Technology using AERO) 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 that are similar to the HMC1053 AMR magnetometer.

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“…The goal of the calibration method is to estimate the calibration parameters A and b in Equation ( 13). The batch magnetometer calibration method uses the entire set of magnetic field measurements to estimate the unknown calibration parameters [66], using an attitudeindependent observation to estimate the magnetometer error term. This observation is derived from the fact that the magnetometer measurements are constant and independent of the attitude of the local measurement position [67].…”

Section: Magnetometer Calibrationmentioning

confidence: 99%

A Survey of Magnetic-Field-Based Indoor Localization

Ouyang

Abed-Meraim

2022

Electronics

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Magnetic fields have attracted considerable attention in indoor localization due to their ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive review of magnetic-field-based indoor localization methods. We first introduce characteristics of the magnetic field, its advantages, and its challenges. We then describe the magnetometer model and the effect of ferromagnetic interference. We also present coordinate systems commonly used for magnetic field localization and describe their transformation relationships. We then compare the existing publicly available magnetic field benchmark datasets, present magnetometer calibration algorithms, and show how efficiently magnetic field maps can be built. We also summarize state-of-the-art magnetic field localization methods (e.g., magnetic landmarks, dynamic time warping, magnetic fingerprinting, filters, simultaneous localization and mapping, and neural network). The smartphone-based pedestrian dead reckoning approach is also reviewed.

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A survey of calibration algorithms for small satellite magnetometers

Cited by 21 publications

References 33 publications

Intelligent Geomagnetic Indoor Positioning System

Intelligent Geomagnetic Indoor Positioning System

Verification and calibration of a commercial anisotropic magnetoresistive magnetometer by multivariate non-linear regression

A Survey of Magnetic-Field-Based Indoor Localization

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