A new method and information system based on artificial intelligence for black flight identification
Identification of aircraft entering a country's sovereign airspace if it shuts down its identification system, either the Identification Friend or Foe system and/or the Automatic Dependent Surveillance Broadcast system, has long been a challenge for the National Air Operations Command. Aircraft...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125000962 |
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| author | Arwin Datumaya Wahyudi Sumari Rosa Andrie Asmara Ika Noer Syamsiana |
| author_facet | Arwin Datumaya Wahyudi Sumari Rosa Andrie Asmara Ika Noer Syamsiana |
| author_sort | Arwin Datumaya Wahyudi Sumari |
| collection | DOAJ |
| description | Identification of aircraft entering a country's sovereign airspace if it shuts down its identification system, either the Identification Friend or Foe system and/or the Automatic Dependent Surveillance Broadcast system, has long been a challenge for the National Air Operations Command. Aircraft that do not want their identities to be revealed are called black flights and generally have certain missions that can interfere with the sovereignty of a country's airspace. Military radar units that have the task of monitoring airspace are generally equipped with Primary Surveillance Radar that detects the presence of aircraft in their operating area and Secondary Surveillance Radar which functions to identify the aircraft. In the case of black flight, data from the radar in the form of airspeed, altitude, and position are not able to help identify the identity of the black flight. The contributions of this research are: • a new method of black flight identification that combines air speed data and altitude with Radar Cross Section (RCS) data using machine learning, • a new information system that combines the display of the Plan Position Indicator (PPI) of military radar and ADS-B to accelerate decision-making on black flight, • a new approach to national air defense procedures. |
| format | Article |
| id | doaj-art-056fc8ea07634a41bfa95bd8236ad39f |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-056fc8ea07634a41bfa95bd8236ad39f2025-08-20T03:30:29ZengElsevierMethodsX2215-01612025-06-011410325010.1016/j.mex.2025.103250A new method and information system based on artificial intelligence for black flight identificationArwin Datumaya Wahyudi Sumari0Rosa Andrie Asmara1Ika Noer Syamsiana2Department of Electrical Engineering, State Polytechnic of Malang, Malang 65141, East Java, Indonesia; Special High-Ranking Officer Office, Indonesian Air Force Headquarters, Cilangkap, Jakarta Timur 13870, DKI Jakarta, Indonesia; Corresponding author.Department of Information Technology, State Polytechnic of Malang, Malang 65141, East Java, IndonesiaDepartment of Electrical Engineering, State Polytechnic of Malang, Malang 65141, East Java, IndonesiaIdentification of aircraft entering a country's sovereign airspace if it shuts down its identification system, either the Identification Friend or Foe system and/or the Automatic Dependent Surveillance Broadcast system, has long been a challenge for the National Air Operations Command. Aircraft that do not want their identities to be revealed are called black flights and generally have certain missions that can interfere with the sovereignty of a country's airspace. Military radar units that have the task of monitoring airspace are generally equipped with Primary Surveillance Radar that detects the presence of aircraft in their operating area and Secondary Surveillance Radar which functions to identify the aircraft. In the case of black flight, data from the radar in the form of airspeed, altitude, and position are not able to help identify the identity of the black flight. The contributions of this research are: • a new method of black flight identification that combines air speed data and altitude with Radar Cross Section (RCS) data using machine learning, • a new information system that combines the display of the Plan Position Indicator (PPI) of military radar and ADS-B to accelerate decision-making on black flight, • a new approach to national air defense procedures.http://www.sciencedirect.com/science/article/pii/S2215016125000962Machine Learning with Aircraft's RCS, Altitude, and Air Speed |
| spellingShingle | Arwin Datumaya Wahyudi Sumari Rosa Andrie Asmara Ika Noer Syamsiana A new method and information system based on artificial intelligence for black flight identification MethodsX Machine Learning with Aircraft's RCS, Altitude, and Air Speed |
| title | A new method and information system based on artificial intelligence for black flight identification |
| title_full | A new method and information system based on artificial intelligence for black flight identification |
| title_fullStr | A new method and information system based on artificial intelligence for black flight identification |
| title_full_unstemmed | A new method and information system based on artificial intelligence for black flight identification |
| title_short | A new method and information system based on artificial intelligence for black flight identification |
| title_sort | new method and information system based on artificial intelligence for black flight identification |
| topic | Machine Learning with Aircraft's RCS, Altitude, and Air Speed |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125000962 |
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