Improved Flight Conflict Detection Algorithm Based on Gauss-Hermite Particle Filter

作     者：MA Lan GAO Yongsheng YIN Tianyi ZHAI Wenpeng 

作者机构：College of Air Traffic Management Civil Aviation University of China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2017年第22卷第3期

页      面：269-276页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：Supported by the Joint Project of National Natural Science Foundation of China Civil Aviation Administration of China(U1333116) 

主　　题：free flight conflict detection Gauss Hermite particle filter importance probability density function observation data 

摘      要：In order to improve the accuracy of free flight conflict detection and reduce the false alarm rate, an improved flight conflict detection algorithm is proposed based on Gauss-Hermite particle filter（GHPF）. The algorithm improves the traditional flight conflict detection method in two aspects：（i） New observation data are integrated into system state transition probability, and Gauss-Hermite Filter（GHF） is used for generating the importance density function.（ii） GHPF is used for flight trajectory prediction and flight conflict probability calculation. The experimental results show that the accuracy of conflict detection and tracing with GHPF is better than that with standard particle filter. The detected conflict probability is more precise with GHPF, and GHPF is suitable for early free flight conflict detection.