ITU Journal: ICT Discoveries

The ITU Journal: ICT Discoveries publishes original research on ICT technical developments and their policy and regulatory, economic, social and legal dimensions. It builds bridges between disciplines, connects theory with application, and stimulates international dialogue. This interdisciplinary approach reflects ITU’s comprehensive field of interest and explores the convergence of ICT with other disciplines. It also features review articles, best practice implementation tutorials and case studies. The ITU Journal welcomes submissions at any time, on any topic within its scope.


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Opportunities and challenges of global flight data acquisition​

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
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