Magnetic Noise Prediction and Evaluation in Tunneling Magnetoresistance Sensors

We propose a simple model for prediction of magnetic noise level in tunneling magnetoresistance (TMR) sensors. The model reproduces experimental magnetic 1/f and white noise components, which are dependent on sensors resistance and field sensitivity. The exact character of this dependence is determi...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 18; no. 9; p. 3055
Main Authors Chęciński, Jakub, Wiśniowski, Piotr, Frankowski, Marek, Stobiecki, Tomasz
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 12.09.2018
MDPI
Subjects
1/f noise
Dependence
Fourier transforms
magnetic field sensing
Magnetic fields
Magnetoresistance
Magnetoresistivity
Mathematical models
Noise
noise modeling
Noise prediction
Sensitivity
Sensors
Stochastic models
Time series
tunneling magnetoresistance devices
White noise
Poland
New York
United States > US
magnetic field sensing
noise modeling
white noise
1/f noise
tunneling magnetoresistance devices
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Summary:We propose a simple model for prediction of magnetic noise level in tunneling magnetoresistance (TMR) sensors. The model reproduces experimental magnetic 1/f and white noise components, which are dependent on sensors resistance and field sensitivity. The exact character of this dependence is determined by comparing the results with experimental data using a statistical cross-validation procedure. We show that the model is able to correctly predict magnetic noise level for systems within wide range of resistance, volume and sensitivity, and that it can be used as a robust method for noise evaluation in TMR sensors based on a small number of easily measurable parameters only.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s18093055