• A new method and information s...

Treffer: A new method and information system based on artificial intelligence for black flight identification.

Title:
A new method and information system based on artificial intelligence for black flight identification.
Authors:
Sumari ADW; Department 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., Asmara RA; Department of Information Technology, State Polytechnic of Malang, Malang 65141, East Java, Indonesia., Syamsiana IN; Department of Electrical Engineering, State Polytechnic of Malang, Malang 65141, East Java, Indonesia.
Source:
MethodsX [MethodsX] 2025 Feb 28; Vol. 14, pp. 103250. Date of Electronic Publication: 2025 Feb 28 (Print Publication: 2025).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101639829 Publication Model: eCollection Cited Medium: Print ISSN: 2215-0161 (Print) Linking ISSN: 22150161 NLM ISO Abbreviation: MethodsX Subsets: PubMed not MEDLINE
Imprint Name(s):
Original Publication: Amsterdam : Elsevier B.V., [2014]-
Contributed Indexing:
Keywords: Air speed; Altitude; Artificial intelligence; Black flight identification; Machine Learning with Aircraft's RCS, Altitude, and Air Speed; Machine learning; Radar cross section; Recommender System
Entry Date(s):
Date Created: 20250324 Latest Revision: 20250324
Update Code:
20250324
PubMed Central ID:
PMC11930189
DOI:
10.1016/j.mex.2025.103250
PMID:
40124329
Database:
MEDLINE

Weitere Informationen

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.
(© 2025 The Author(s).)

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.