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1
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Estimation of Multichannel Magnetometer Noise Floor in Ordinary Laboratory Conditions

100%
Praslička D., Lipovský P., Hudák J., Šmelko M.
Acta Physica Polonica A
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2017
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vol. 131
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issue 4
1123-1125
EN
The article deals with the method of the inherent noise estimation in each channel of a four channel relax-type magnetometer in general laboratory conditions. The day-long development of ambient magnetic field has been recorded and then the data were processed by correlation methods to separate inherent noises of the channels from ambient noise in the statistically best times. The method is applicable for noise estimation of any multi-channel sensoric system and also for the separation of deterministic and stochastic components of signals.
2
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Noise Characteristics of Microwire Magnetometer

88%
Lipovský P., Čverha A., Hudák J., Blažek J., Praslička D.
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vol. 126
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issue 1
384-385
EN
Current trends in modernization and miniaturization of ferroprobe sensors lead to replacement of amorphous ribbon cores with magnetic microwires. The miniaturization often causes degradation in the parameters of sensors, so, considering measurement of weak magnetic fields, it is necessary to explore noise parameters, temperature drift and stability of the magnetometer output value. The article deals with analysis of microwire sensor noise characteristics based on the experimental data processing. Using one second periodograms, the linear spectral density was processed. Obtained data are compared with corresponding parameters of a relax-type ferroprobe magnetometer.
3
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Calibration of Magnetometer for Small Satellites Using Neural Network

88%
Kliment T., Praslička D., Lipovský P., Draganová K., Závodský O.
Acta Physica Polonica A
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2017
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vol. 131
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issue 4
1129-1131
EN
The article presents the scalar calibration method that uses a neural network for the determination of parameters of the inverse model of the vector magnetometer. Utilization of the one layered, feed-forward neural network with the back propagation algorithm has suppressed the systematic errors of the vector magnetometers, namely the multiplicative, additive, orthogonality and linearity errors. Methodology shown in the article was designed and used for a pre-flight calibration of the magnetometer used in the first Slovak satellite skCUBE, where the magnetometer performs stabilization and navigation tasks. The experiment was performed in a 3D Helmholtz coil system, where the Earth magnetic field was suppressed and at the same time the stimulation field was created. Suppression of the Earth magnetic field was achieved by special positioning of the satellite. Honeywell HMC 5883L was used for the verification of the methodology.
4
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New Generation of Magnetic Relaxation Sensors Based on the Melt-Spun FeCoBCu Alloys

76%
Blažek J., Praslička D., Hudák J., Klinda A., Mikita I., Marcin J.
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issue 5
1010-1012
EN
We report on the development of new generation of magnetic relaxation sensors based on soft magnetic melt-spun ribbons with the composition Fe_{63}Co_{21}B_{15}Cu. The as-quenched amorphous alloy was subjected to thermomagnetic heat treatment in order to obtain sensor cores with optimized magnetic properties. The relaxation characteristics obtained for these cores by employing upgraded sensor electronics were compared to those based on the model simulations using Matlab-Simulink environment. The operational field range of new developed sensor core reached 300 μT within the frequency band 0-500 Hz, i.e. it is markedly extended as compared to the currently used cores based on the commercial VAC 25X material while keeping the similar sensitivity.
5
Content available remote

Noise Analysis of Magnetic Sensors Using Allan Variance

76%
Draganová K., Kmec F., Blažek J., Praslička D., Hudák J., Laššák M.
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vol. 126
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issue 1
394-395
EN
The article deals with the noise analysis of magnetic sensors using Allan variance. In comparison with the standard variance, based on the variations around the average value, Allan variance provides a measure of the behavior of the variability of a quantity as it is averaged over different measurement time periods, which results in a better convergence and the possibility to distinguish types of noise directly. A significant advantage of this method is that there is no need of any transformations and according to the IEEE recommendation the Allan variance approach is the preferred method for stochastic error identification and the noise type determination in inertial sensors (accelerometers and gyroscopes). Considering that magnetic sensors become even more often a part of inertial measurements units, the goal of this article is to prove that the method using the Allan variance analysis can be very successfully applied also for noise analysis in magnetic sensors.
6
Content available remote

Advanced Method for Magnetic Microwires Noise Specification

76%
Praslička D., Šmelko M., Blažek J., Hudák J., Lipovský P., Flachbart N.
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vol. 126
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issue 1
86-87
EN
The article points to the effects of the ambient noise and its possible influences on quantification of the inherent switching field noise of magnetic microwires. Based on the observed effects, an advanced methodology was developed to quantify the impact of the ambient noise. During measurements a multi-channel system with applied correlation methods was used. The proposed method determines the percentage contribution of the ambient noise deviation to the magnetic microwires switching field noise.
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