A General Framework for Flight Maneuvers Automatic Recognition
Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and no...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/7/1196 |
| _version_ | 1797438477550223360 |
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| author | Jing Lu Hongjun Chai Ruchun Jia |
| author_facet | Jing Lu Hongjun Chai Ruchun Jia |
| author_sort | Jing Lu |
| collection | DOAJ |
| description | Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver sequences, then reconstructed the sequences in phase space, calculated their approximate entropy, quantitatively characterized the sequence complexity, and distinguished the flight maneuvers. Experiments on a real flight training dataset have shown that the framework can quickly and correctly identify various flight maneuvers for multiple aircraft types with minimal human intervention. |
| first_indexed | 2024-03-09T11:38:30Z |
| format | Article |
| id | doaj.art-b4b0f6c837104a268ba97987cb0ae4c1 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:38:30Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-b4b0f6c837104a268ba97987cb0ae4c12023-11-30T23:38:34ZengMDPI AGMathematics2227-73902022-04-01107119610.3390/math10071196A General Framework for Flight Maneuvers Automatic RecognitionJing Lu0Hongjun Chai1Ruchun Jia2College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, ChinaWangjiang Campus, Sichuan University, Chengdu 610065, ChinaFlight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver sequences, then reconstructed the sequences in phase space, calculated their approximate entropy, quantitatively characterized the sequence complexity, and distinguished the flight maneuvers. Experiments on a real flight training dataset have shown that the framework can quickly and correctly identify various flight maneuvers for multiple aircraft types with minimal human intervention.https://www.mdpi.com/2227-7390/10/7/1196Flight Maneuver Recognition (FMR)unsupervised clusteringphase space reconstruction |
| spellingShingle | Jing Lu Hongjun Chai Ruchun Jia A General Framework for Flight Maneuvers Automatic Recognition Mathematics Flight Maneuver Recognition (FMR) unsupervised clustering phase space reconstruction |
| title | A General Framework for Flight Maneuvers Automatic Recognition |
| title_full | A General Framework for Flight Maneuvers Automatic Recognition |
| title_fullStr | A General Framework for Flight Maneuvers Automatic Recognition |
| title_full_unstemmed | A General Framework for Flight Maneuvers Automatic Recognition |
| title_short | A General Framework for Flight Maneuvers Automatic Recognition |
| title_sort | general framework for flight maneuvers automatic recognition |
| topic | Flight Maneuver Recognition (FMR) unsupervised clustering phase space reconstruction |
| url | https://www.mdpi.com/2227-7390/10/7/1196 |
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