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Bibliografías temáticas / Magnetometer calibration

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Artículos de revistas

Literatura académica sobre el tema "Magnetometer calibration"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 8 de febrero de 2022

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Artículos de revistas sobre el tema "Magnetometer calibration"

1

Wu, Helong, Xinbiao Pei, Jihui Li, Huibin Gao, and Yue Bai. "An improved magnetometer calibration and compensation method based on Levenberg–Marquardt algorithm for multi-rotor unmanned aerial vehicle." Measurement and Control 53, no. 3-4 (2020): 276–86. http://dx.doi.org/10.1177/0020294019890627.

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In order to improvethe yaw angle accuracy of multi-rotor unmanned aerial vehicle and meet the requirement of autonomous flight, a new calibration and compensation method for magnetometer based on Levenberg–Marquardt algorithm is proposed in this paper. A novel mathematical calibration model with clear physical meaning is established. “Hard iron” error and “Soft iron” error of magnetometer which affect the yaw accuracy of unmanned aerial vehicle are compensated. Initially, Levenberg–Marquardt algorithm is applied to the process of sphere fitting for the original magnetometer data; the optimal e

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2

Long, Dafeng, Xiaoming Zhang, Xiaohui Wei, Zhongliang Luo, and Jianzhong Cao. "A Fast Calibration and Compensation Method for Magnetometers in Strap-Down Spinning Projectiles." Sensors 18, no. 12 (2018): 4157. http://dx.doi.org/10.3390/s18124157.

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Attitude measurement is an essential technology in projectile trajectory correction. Magnetometers have been used for projectile attitude measurement systems as they are small in size, lightweight, and low cost. However, magnetometers are seriously disturbed by the artillery magnetic field during launch. Moreover, the error parameters of the magnetometers, which are calibrated in advance, usually change after extended storage. The changed parameters have negative effects on attitude estimation of the projectile. To improve the accuracy of attitude estimation, the magnetometers should be calibr

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3

Razavi, Hamidreza, Hassan Salarieh, and Aria Alasty. "Optimization-based gravity-assisted calibration and axis alignment of 9-degrees of freedom inertial measurement unit without external equipment." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 2 (2019): 192–207. http://dx.doi.org/10.1177/0954410019861778.

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Applicable in numerous fields, low-cost micro-electromechanical system inertial measurement units often require on-sight calibration by the end user due to the existence of systematic errors. A 9-degrees of freedom inertial measurement unit comprises a tri-axis accelerometer, a tri-axis gyroscope, and a tri-axis magnetometer. Various proposed multi-position calibration methods can calibrate tri-axis accelerometers and magnetometers to a degree. Yet the full calibration of a tri-axis gyroscope and axis alignment of all the sensors still often requires equipment such as a rate table to generate

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4

Cao, Guocan, Xiang Xu, and Dacheng Xu. "Real-Time Calibration of Magnetometers Using the RLS/ML Algorithm." Sensors 20, no. 2 (2020): 535. http://dx.doi.org/10.3390/s20020535.

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This study presents a new real-time calibration algorithm for three-axis magnetometers by combining the recursive least square (RLS) estimation and maximum likelihood (ML) estimation methods. Magnetometers are widely employed to determine the heading information by sensing the magnetic field of earth; however, they are vulnerable to ambient magnetic disturbances. This makes the calibration of a magnetometer inevitable before it is employed. In this paper, first, a complete measurement error model of the magnetometer is studied, and a simplified model is developed. Then, the real-time RLS algor

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5

Zhang, Xiaoming, Chen Lei, Jun Liu, et al. "Real-time calibration algorithm of magnetometer for spinning projectiles." Sensor Review 40, no. 2 (2019): 227–36. http://dx.doi.org/10.1108/sr-04-2018-0088.

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Purpose In spite of the vehicle, magnetic field interference can be reduced by some measures and techniques in ammunition design and manufacturing stage, the corruption of the vehicle magnetic field can still reach hundreds to thousands of nanoteslas. Besides, the magnetic field that the ferromagnetic materials generate in response to the strong magnetic field in the vicinity of the body. So, a real-time and accurate vehicle magnetic field calibration method is needed to improve the real-time measurement accuracy of the geomagnetic field for spinning projectiles. Design/methodology/approach Un

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6

Wu, Yuanxin, and Ling Pei. "Gyroscope Calibration via Magnetometer." IEEE Sensors Journal 17, no. 16 (2017): 5269–75. http://dx.doi.org/10.1109/jsen.2017.2720756.

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7

Li, Long, and Zhang He. "Automatic Calibration of the 3D Vector Magnetometer." Advanced Materials Research 591-593 (November 2012): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1256.

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Embedded sensors are an emerging trend in mobile consumer devices. In this work a new algorithm is derived for the onboard calibration of three-axis magnetometers. The proposed calibration method is written in the sensor frame, and compensates for the combined effect of all linear time-invariant distortions, namely soft iron, hard iron, three-dimensional sensor non-orthogonally, scale factors, null-shift, arbitrary bias, among others. The new algorithm can be separated into two steps: In the first step, obtain the ellipsoid fitting parameters from comparing the difference between the measured

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8

Renaudin, Valérie, Muhammad Haris Afzal, and Gérard Lachapelle. "Complete Triaxis Magnetometer Calibration in the Magnetic Domain." Journal of Sensors 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/967245.

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This paper presents an algorithm for calibrating erroneous tri-axis magnetometers in the magnetic field domain. Unlike existing algorithms, no simplification is made on the nature of errors to ease the estimation. A complete error model, including instrumentation errors (scale factors, nonorthogonality, and offsets) and magnetic deviations (soft and hard iron) on the host platform, is elaborated. An adaptive least squares estimator provides a consistent solution to the ellipsoid fitting problem and the magnetometer's calibration parameters are derived. The calibration is experimentally assesse

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9

McGrath, Timothy, and Leia Stirling. "Body-Worn IMU Human Skeletal Pose Estimation Using a Factor Graph-Based Optimization Framework." Sensors 20, no. 23 (2020): 6887. http://dx.doi.org/10.3390/s20236887.

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Traditionally, inertial measurement units- (IMU) based human joint angle estimation requires a priori knowledge about sensor alignment or specific calibration motions. Furthermore, magnetometer measurements can become unreliable indoors. Without magnetometers, however, IMUs lack a heading reference, which leads to unobservability issues. This paper proposes a magnetometer-free estimation method, which provides desirable observability qualities under joint kinematics that sufficiently excite the lower body degrees of freedom. The proposed lower body model expands on the current self-calibrating

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10

Plaschke, Ferdinand, Hans-Ulrich Auster, David Fischer, et al. "Advanced calibration of magnetometers on spin-stabilized spacecraft based on parameter decoupling." Geoscientific Instrumentation, Methods and Data Systems 8, no. 1 (2019): 63–76. http://dx.doi.org/10.5194/gi-8-63-2019.

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Abstract. Magnetometers are key instruments on board spacecraft that probe the plasma environments of planets and other solar system bodies. The linear conversion of raw magnetometer outputs to fully calibrated magnetic field measurements requires the accurate knowledge of 12 calibration parameters: six angles, three gain factors, and three offset values. The in-flight determination of 8 of those 12 parameters is enormously supported if the spacecraft is spin-stabilized, as an incorrect choice of those parameters will lead to systematic spin harmonic disturbances in the calibrated data. We sho

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