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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ma, Lan Gao, Yongsheng Yin, Tianyi Zhai, Wenpeng |
| Copyright Year | 2017 |
| 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. |
| Starting Page | 269 |
| Ending Page | 276 |
| Page Count | 8 |
| File Format | |
| ISSN | 10071202 |
| Journal | Wuhan University Journal of Natural Sciences |
| Volume Number | 22 |
| Issue Number | 3 |
| e-ISSN | 19934998 |
| Language | English |
| Publisher | Wuhan University |
| Publisher Date | 2017-05-06 |
| Publisher Place | Wuhan |
| Access Restriction | Subscribed |
| Subject Keyword | free flight conflict detection Gauss-Hermite particle filter importance probability density function observation data Life Sciences Materials Science Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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