A Combined Temperature Sensor Based on Data Fusion

doi:10.3969/j.issn.1006-2475.2016.07.013

Abstract

Abstract: In this paper, we present a combined temperature sensor based on data fusion. We test the combination of the linearity, stability of the platinum resistance and the sensitivity, dynamic performance of the thermistor, and apply the federated Kalman algorithm to fuse their data realtinely. Our results show that this combined sensor is more excellent than both. The results suggest that this combined temperature sensor could improve the accuracy and dynamic response of the measurement system.

Key words: sensor, combined sensor, data fusion, federated Kalman filter

HU Nai-ping, DING Ji-xiang. A Combined Temperature Sensor Based on Data Fusion[J]. Computer and Modernization, 2016, 251(07): 68-71,76.

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