An Inexpensive and Accurate Absolute Position Sensor for Driving Assistance

Yun, JaeMu; Ko, Jae-Pyung; Lee, Jang-Myung

doi:10.1109/tim.2007.913756

Cited by 14 publications

(2 citation statements)

References 11 publications

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“…Anisotropic magnetoresistive (AMR) magnetometers are used in a variety of applications for angle measuring, attitude determination, and even magnetic field observations for space science [1]. They cover the sophisticated fields of measurement, such as navigation systems, by supporting GPS measurements or drones for attitude determination [2,3,4]. Most notably, they are used in small satellites [5,6,7]—namely, Cubesats—because of their mechanical ruggedness, compactness, and temperature endurance.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Off-the-Shelf Anisotropic Magnetoresistance Magnetometers

Schulz

Heinisch

Richter

2019

Sensors

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Magnetometers based on the anisotropic magnetoresistive effect are used in many applications for orientation determination, by measuring the magnetic field of the Earth. As sensors of this type are commercial, off-the-shelf components, manufacturers provide limited information on their measurement performance. Therefore, we present a (to date) unprecedented comprehensive calibration study on three state-of-the-art digital anisotropic magnetoresistance magnetometers, to precisely determine various performance parameters and stability across different sensors of the same model. With the evaluation of sensitivity, noise, offset, and orientation determination, as well as considering dependencies on temperature and frequency, the performance of each sensor can be improved significantly, enabling their implementation in demanding fields of application (such as in satellites). Different measurement and calibration techniques, specifically aimed at the characteristics of the examined magnetometers, were utilized, using a sophisticated magnetic laboratory that has served as a calibration facility for several interplanetary space missions. Our study allows operators to decide whether to consider anisotropic magnetoresitance magnetometers for their application and, more importantly, to be able to (at least partially) skip a time-intensive and complicated calibration by using the sensor parameters given in this paper. To that end, the most promising sensor is recommended. The sensor examination suggests a good comparability of different sensors of the same model, and shows the importance of noise regarding the sensor performance with a noise floor up to 124 nT/Hz at 1 Hz. Additionally, depending on the sensor model, the sensitivity is 14 nT at best, and the attitude determination error can be reduced to about 0.3° with the given calibration.

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Section: Introductionmentioning

confidence: 99%

Calibration of Off-the-Shelf Anisotropic Magnetoresistance Magnetometers

Schulz

Heinisch

Richter

2019

Sensors

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“…Two-axis fluxgate sensors are widely used as magnetometers or magnetic compasses, which determine the magnitude of magnetic fields or the heading of vehicles by measuring the Earth’s magnetic field in a horizontal plane, with widespread application to autonomous air, ground and ocean vehicles [1,2,3,4]. However, due to manufacturing technological limitations and magnetic interferences, the output of fluxgate sensors is corrupted by various errors, making it difficult to satisfy the precision requirement of practical applications [5].…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Calibration Algorithm Based on Harmonic Decomposition for Two-Axis Fluxgate Sensors

Wen-guang

Liu

2018

Sensors

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Nonlinearity is a prominent limitation to the calibration performance for two-axis fluxgate sensors. In this paper, a novel nonlinear calibration algorithm taking into account the nonlinearity of errors is proposed. In order to establish the nonlinear calibration model, the combined effort of all time-invariant errors is analyzed in detail, and then harmonic decomposition method is utilized to estimate the compensation coefficients. Meanwhile, the proposed nonlinear calibration algorithm is validated and compared with a classical calibration algorithm by experiments. The experimental results show that, after the nonlinear calibration, the maximum deviation of magnetic field magnitude is decreased from 1302 nT to 30 nT, which is smaller than 81 nT after the classical calibration. Furthermore, for the two-axis fluxgate sensor used as magnetic compass, the maximum error of heading is corrected from 1.86° to 0.07°, which is approximately 11% in contrast with 0.62° after the classical calibration. The results suggest an effective way to improve the calibration performance of two-axis fluxgate sensors.

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