​Title

Opportunities and Challenges of Global Flight Data Acquisition 

Abstract

Receptors on-board satellites are being implemented to track civil aircrafts all around the world. This new scenario requires novel methods to process the signals in order to efficiently retrieve more updated and reliable position
and status data of every aircraft. To reach the required performance, it is indeed needed to engage carefully chosen algorithms of data analysis and processing. Machine learning algorithms, in particular k-nearest neighbors and support vector machines, are employed to estimate the potential success in decodifying ADS-B messages in highly congested areas, and simulations are performed to obtain the training and testing signals. First, the ADS-B communication system is described; second, multivariate analysis and machine learning algorithms are studied. Finally, the results obtained from machine learning methods are compared and future studies are proposed.

Keywords

Global flight tracking, machine learning, signal processing

Authors

Juan P. Martin  (Universidad Tecnológica Nacional, Argentina) Juan Pablo Martín is an electronic engineer from the University of Buenos Aires, and currently pursuing a PhD in signal and image processing. He is also the Director of “Communications Research Group” and a professor at “Facultad Regional San Nicolás” of “Universidad Tecnológica Nacional” from Argentina. Juan Pablo teaches in “Communication Systems II”, “Networking” and “ITU and international ICTs organizations“ subjects . He is a former member of the Aviation Cloud Focus Group of ITU-T and remains to be an active member of Working Party 5B of ITU-R and fills the role of Associate Rapporteur for Questions 2/20 of ITU-T Study Group 20 “Internet of Things, smart cities and communities”. In additional to being the author of many scientific papers on telecommunication topics, he is also the Team leader of the first Argentinian University satellite project with more than 15 years of experience working in the telecommunications field, specializing in project management, radio-frequency systems, data networks, and satellite systems.   Martin G. Riolfo  (Universidad Tecnológica Nacional, Argentina) Martin Gabriel Riolfo - Electronics technician, advanced Electronics Engineering student at FRSN “Facultad Regional San Nicolás” - UTN “Universidad Tecnológica Nacional” from Argentina. Member of "Grupo de Investigación en Comunicaciones" (GICom) investigation group at the same university, and of the research projects “Interference mitigation of ADS-B message reception” and “Study and Modelyzing of ADS-B message decodyfication software systems”.