Pengyu Liu1,2,3,*, Wenjing Zhang1,2,3, Tao Wang1,2,3, Xiaowei Jia4, Ying Ma5, Kebin Jia1,2,3, Yanming Wang1,2,3
Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 855-864, 2022, DOI:10.32604/iasc.2022.022380
Abstract The development of upper-air meteorological detection is contingent upon the improvement of detection instruments. Air pressure sensors play a key role in high altitude meteorological measurement, but they can be frequently affected by temperature fluctutations, resulting in less accurate measurement data. The need to address this limitation has served as the core problem for meteorological detection and drawn great attention from the community. In this paper, we propose a calibration model for the DF-RBF air pressure sensor. The proposed method decomposes the detection process and corrects the measurements by fitting the residuals to true pressure values. In particular, we first… More >
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