Adaptive Nonlinearity Compensation System for Integrated Temperature and Moisture Sensor
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Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation
Published on: January 5, 2014
Guohong Chen1, Shengjun Zhou2, Jie Ni1
1School of Information & Electrical Engineering, Zhejiang University City College, 51 Huzhou Street, Hangzhou 310015, China.
Abstract:
Measuring temperature and moisture are important in many scenarios. It has been verified that temperature greatly affects the accuracy of moisture sensing. Moisture sensing performance would suffer without temperature calibrations. This paper introduces a nonlinearity compensation technique for temperature-dependent nonlinearity calibration of moisture sensors, which is based on an adaptive nonlinear order regulating model. An adaptive algorithm is designed to automatically find the optimal order number, which was subsequently applied in a nonlinear mathematical model to compensate for the temperature effects and improve the moisture measurement accuracy. The integrated temperature and moisture sensor with the proposed adaptive nonlinear order regulating nonlinearity compensation technique is found to be more effective and yield better sensing performance.
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