Abstract
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.
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Foundation item: Supported by the Joint Project of National Natural Science Foundation of China and Civil Aviation Administration of China (U1333116)
Biography: MA Lan, female, Associate professor, Ph.D., research direction: transportation planning, air traffic control information processing.
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Ma, L., Gao, Y., Yin, T. et al. Improved flight conflict detection algorithm based on Gauss-Hermite particle filter. Wuhan Univ. J. Nat. Sci. 22, 269–276 (2017). https://doi.org/10.1007/s11859-017-1246-1
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DOI: https://doi.org/10.1007/s11859-017-1246-1
Key words
- free flight
- conflict detection
- Gauss-Hermite particle filter
- importance probability density function
- observation data