Analysis of Data Fusion Method for Multiple Temperature Sensors Based on Improved Kalman Filtering
This paper expounds a data fusion method for multiple temperature sensors based on improved Kalman filtering.On the basis of traditional Kalman filtering data fusion,it improves the Kalman filtering gain by updating the covariance matrix of state variables,and dynamically estimates the temperature values of each temperature measurement point at each moment.
temperature measurement sensorKalman filteringdata fusion
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