Abstract
This paper proposes design of adaptive calibration technique to eliminate the interference of noise in pressure measurement. Proposed paper objective is to design a signal-conditioning technique that measures the pressure accurately, even with variations in environmental parameters like humidity and temperature. Output of the capacitance pressure sensor is converted to voltage using the data conversion circuits. Distributed blackboard data fusion framework is used for creating an adaptive calibration technique to measure pressure accurately without interference of environmental parameters like temperature and humidity. Results of the proposed measurement technique are analyzed to evaluate the performance of proposed technique. Obtained results evidence the effective implementation of proposed calibration technique.
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Santhosh, K.V., Navada, B.R. (2018). Design of an Adaptive Calibration Technique Using Data Fusion for Pressure Measurement. In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_88
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DOI: https://doi.org/10.1007/978-981-10-7901-6_88
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