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Improved Circuits with Capacitive Feedback for Readout Resistive Sensor Arrays.

Óscar Oballe-Peinado1,2, Fernando Vidal-Verdú3,4, José A Sánchez-Durán5,6

  • 1Departamento de Electrónica, Universidad de Málaga, Andalucía Tech, Campus de Teatinos, Málaga 29071, Spain. oballe@uma.es.

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Summary
This summary is machine-generated.

This study presents improved circuits and calibration algorithms for reading resistive sensor arrays, reducing errors and crosstalk for better accuracy in sensor data acquisition.

Keywords:
FPGAsdirect sensor-to-digital device interfaceparallel analogue data acquisitionresistive sensor arrays

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Area of Science:

  • Electrical Engineering
  • Sensor Technology
  • Signal Processing

Background:

  • Resistive sensor arrays with M rows and N columns offer reduced wiring and parallelism but suffer from crosstalk.
  • Accurate analogue-digital conversion (ADC) is crucial for sensor array data.
  • Existing circuits may introduce errors due to non-ideal components and I/O limitations.

Purpose of the Study:

  • To propose modified circuits for analogue-digital conversion of resistive sensor arrays.
  • To develop calibration algorithms to mitigate errors and crosstalk.
  • To enhance the accuracy of sensor array readings.

Main Methods:

  • Utilizing operational amplifiers with capacitive feedback and Field-Programmable Gate Arrays (FPGAs).
  • Modifying a previously reported circuit design to address amplifier non-idealities and FPGA I/O driver issues.
  • Deriving calibration algorithms based on circuit analysis.

Main Results:

  • Demonstrated reduction in errors caused by non-ideal amplifiers and FPGA I/O drivers.
  • Significant decrease in crosstalk effects through proposed calibration algorithms.
  • Improved overall accuracy in experimental evaluations on resistor arrays.

Conclusions:

  • The proposed circuit modifications and calibration algorithms effectively enhance the performance of resistive sensor arrays.
  • This approach offers a viable solution for accurate sensor data acquisition in applications requiring parallel processing.
  • Further experimental validation across diverse ranges confirms the robustness of the proposed methods.