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Integrated Smart Sensors Design and Calibration

1 1. 1 Introduction The (signal processing and storage) capacity ofthe human brain enables us to become powerful autonomous beings, but only if our brains operate in conjunction with (at least some of) our senses and muscles. Using these organs, we can interact with our environment, learn to adapt,...

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Bibliographic Details
Main Authors: Horn, Gert van der, Huijsing, Johan (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 1998, 1998
Edition:1st ed. 1998
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Electrical And Electronic Engineering
Electrical Engineering
Signal, Speech And Image Processing
Signal Processing
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Introduction
  • 1.1 Introduction
  • 1.2 Sensors and actuators
  • 1.3 Integrated smart sensors
  • 1.4 Measurement errors and correction
  • 1.5 Objective and Organization
  • References
  • 2 Integrated Smart Sensor Concept
  • 2.1 Introduction
  • 2.2 Silicon sensors
  • 2.3 Analog Interface circuits
  • 2.4 Analog-to-Digital conversion
  • 2.5 Digital bus or microcontroller interface
  • 2.6 Integrating a calibration function in the smart sensor concept
  • References
  • 3 Calibration and Linearization Techniques
  • 3.1 Introduction
  • 3.2 Linearization
  • 3.3 Progressive polynomial calibration method
  • 3.4 Conclusion
  • References
  • 4 Calibration using Analog Signal Processing
  • 4.1 Introduction
  • 4.2 Conventional sensor calibration
  • 4.3 Analog calibration circuits
  • 4.4 Classical pulse-modulated calibration
  • 4.5 Analog implementation of a polynomial calibration
  • 4.6 Conclusion
  • References
  • 5 Calibration using Sigma-Delta Analog-to-Digital Conversion
  • 5.1 Introduction
  • 5.2 Sigma-delta AD-converters
  • 5.3 Alteration of the sigma-delta transfer
  • 5.4 Implementation of the sigma-delta AD-converter
  • 5.5 Smart temperature sensor realizations
  • 5.6 Conclusion
  • References
  • 6 Calibration using Digital Signal Processing
  • 6.1 Introduction
  • 6.2 Hardware implementation
  • 6.3 Software implementation
  • 6.4 Conclusion
  • References
  • 7 Summary and Conclusions

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