Abstract
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.
Highlights
IntroductionDevices has great potential for applications where high sensitivity, wide dynamic range, high spatial resolution and low power consumption are important
Magnetic field detection by high sensitivity sensors based on tunneling magnetoresistive (TMR)devices has great potential for applications where high sensitivity, wide dynamic range, high spatial resolution and low power consumption are important
We show that the model sufficiently accurately reproduces experimental field sensitivity by polynomial dependencies
Summary
Devices has great potential for applications where high sensitivity, wide dynamic range, high spatial resolution and low power consumption are important These sensors can be used in low and ultra-low magnetic field detection (biosensing and compass), high performance rotation and angle measurements (motor shaft, steering wheel, and anti-lock braking system) and current sensing (over current protection and high speed current monitoring) [1,2,3,4]. In most of these applications, the field detection, which is determined by the field sensitivity and noise level of the sensors, is the critical parameter that determines a sensor performance. Both noise components depend on bias conditions as well as on several specific TMR sensors materials and design parameters [7,8,9], such as sensing layer volume, saturation magnetization, anisotropy field, Gilbert damping and susceptibility
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