A Practical Technique for Minimizing the Number of Measurements in Sensor Signal Conditioning Calibration
This paper discusses a practical model of sensor behavior vs. input stimulus and temperature based on general pre-characterization data. A sensor calibration method using this model is described where the number of required stimuli and temperature levels is minimized. The measurements are made at the output of a complete module containing the sensor and conditioning electronics thus taking all system errors into account. A programmable signal conditioning amplifier stores the computed calibration data and uses it to eliminate initial errors.
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