Digital Signal Processing and Artificial Intelligence for Automatic Learning

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Digital Signal Processing and Artificial Intelligence for Automatic Learning

Signal Processing Models with High-sensitivity Hall Plates

Tihomir Takov, Ivelina Cholakova and Yavor Georgiev
The Faculty of Electronic Engineering and Technologies at Technical University of Sofia 8 Kl. Ohridski Blvd, Sofia 1000, Bulgaria

Abstract: By introducing the high sensitivity and low offset we have designed hall plates. For generating effective signal processing, we have used a block with a main second-order switch capacitor and filter. Finally, we have presented a new signal processing model with one out of the total f noise values.

Keywords: CMOS Technology, Offset, Sensitivity, Signal Processing, Switched Capacitor Filter Signal Processing Models with High-sensitivity Hall Plates

DOI:https://doi.org/10.6025/dspaial/2023/2/1/11-20

Full_Text PDF 1.88 MB Download: 67 times

References:

[1] Lozanova, S., Ch. Roumenin (2012) “A novel parallel-field double – Hall microsensor with self-reduced offset and temperature drift”, ScienceDirect. Procedia Engineering, 5, 617–620.
[2] Ramsden, E. (2001). Hall Effect Sensors Theory & Application. Advanstar Communications, Inc.
[3] Ionescu, M., Bogdan, D., Danchiv, A. & Bodea, M. (2011) Signal processing for integrated Hall effect sensors using switched capacitor circuits. Scientific Bulletin Series C, 73.
[4] Enz, C. & Temes, G. (1996). Circuit Techniques for Reducing the Effects of OP-Amp Imperfections: Autozeroing, Correlated Double Sampling, and Chopper Stabilization. IEEE Publications.
[5] Cholakova, I.N., Takov, T.B., Tsankov, R.T. & Simonne, N. (2012). Temperature Influence on Hall Effect Sensors Characteristics. IEEE Publications. Serbia, pp. 967–970 [DOI: 10.1109/TELFOR.2012.6419370].

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