Improved flight conflict detection algorithm based on Gauss-Hermite particle filter
- Resource Type
- Original Paper
- Authors
- Ma, Lan; Gao, Yongsheng; Yin, Tianyi; Zhai, Wenpeng
- Source
- Wuhan University Journal of Natural Sciences. June 2017 22(3):269-276
- Subject
- free flight
conflict detection
Gauss-Hermite particle filter
importance probability density function
observation data
V 355
- Language
- English
- ISSN
- 1007-1202
1993-4998
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.