Noise Model Analysis for Sensor Arrays

2014 ◽  
Author(s):  
Gwanggil Jeon ◽  
Marco Anisetti ◽  
Wei Wu
Keyword(s):  
Sensor Arrays ◽  
Model Analysis ◽  
Noise Model

scholarly journals Modeling and Parallel Operation of Exchange-Biased Delta-E Effect Magnetometers for Sensor Arrays

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7594
Author(s):  
Benjamin Spetzler ◽  
Patrick Wiegand ◽  
Phillip Durdaut ◽  
Michael Höft ◽  
Andreas Bahr ◽  
...  
Keyword(s):  
Detection Limit ◽  
Limit Of Detection ◽  
Sensor Arrays ◽  
Low Frequency ◽  
Signal Amplitude ◽  
Intrinsic Noise ◽  
Magnetic Multilayers ◽  
Noise Model ◽  
Parallel Operation ◽  
Resonance Frequencies

Recently, Delta-E effect magnetic field sensors based on exchange-biased magnetic multilayers have shown the potential of detecting low-frequency and small-amplitude magnetic fields. Their design is compatible with microelectromechanical system technology, potentially small, and therefore, suitable for arrays with a large number N of sensor elements. In this study, we explore the prospects and limitations for improving the detection limit by averaging the output of N sensor elements operated in parallel with a single oscillator and a single amplifier to avoid additional electronics and keep the setup compact. Measurements are performed on a two-element array of exchange-biased sensor elements to validate a signal and noise model. With the model, we estimate requirements and tolerances for sensor elements using larger N. It is found that the intrinsic noise of the sensor elements can be considered uncorrelated, and the signal amplitude is improved if the resonance frequencies differ by less than approximately half the bandwidth of the resonators. Under these conditions, the averaging results in a maximum improvement in the detection limit by a factor of N. A maximum N≈200 exists, which depends on the read-out electronics and the sensor intrinsic noise. Overall, the results indicate that significant improvement in the limit of detection is possible, and a model is presented for optimizing the design of delta-E effect sensor arrays in the future.

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