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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Xu, Honglei; * | Wang, Linhuan
Affiliations: Academy of Arts, Xi’an University of Architecture and Technology, Xi’an, China
Correspondence: [*] Corresponding author. Honglei Xu, Academy of Arts, Xi’an University of Architecture and Technology, Xi’an, China. E-mail: xuhonglei0411@163.com.
Abstract: In order to improve the accuracy of dynamic detection of wind field in the three-dimensional display space, system software is carried out on the actual scene and corresponding airborne radar observation information data, and the particle swarm algorithm fuzzy logic algorithm is introduced into the wind field dynamic simulation process in three-dimensional display space, to analyze the error of the filtering result in detail, to process the hurricane Lily Doppler radar measurement data with the optimal adaptive filtering according to the error data. The three-dimensional wind field synchronous measurement data obtained by filtering was compared with three-dimensional wind field synchronous measurement data of the GPS dropsonde in this experiment, the sea surface wind field measurement data of the multi-band microwave radiometer, and the wind field data at aircraft altitude.
Keywords: Hurricane, three-dimensional wind field, airborne doppler radar, kalman filter
DOI: 10.3233/JIFS-189977
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4915-4920, 2021
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