Perturbing effect compensation technique for smart sensors

Environment monitoring systems of today need to be robust and accurate owing to the unpredictability of possible deployment scenarios. So, external disturbances on the sensor should be taken into account in such cases. This paper presents an automatic calibration technique for industrial sensors based on rational interpolation where the system itself determines the transfer function of the sensor's characteristics through point by point calibration. The properties of rational functions make it ideal to model a sensor's transfer function to match its non linear characteristics. Further the proposed method can be extended into 2 dimensional calibrations where the system will evaluate the sensor behavior with a secondary effect and minimize ideality errors. In the later stage, the implementation of the algorithm on a low cost embedded environment has been also presented in this paper. Theoretical and practical results were evaluated for different type of sensors proving its general applicability.