This paper deals with the automatic classification of signals for aeronautical communication. The automatic signal classification is an important feature for the application of Cognitive Radio in aeronautical communications. Cognitive Radio will allow of automatically adapting the transmission parameters according with the radio environment and the channel conditions, with the aim of assuring reliable communication and high data rates. In particular, an algorithm has been proposed, allowing to identify signals transmitted according with the new proposals for aeronautical communication systems, and to distinguish such signals from linearly modulated ones and noise. The developed algorithm has been then validated on simulated signals, by considering a model of the aeronautical channel.
|Titolo:||Classification of future aeronautical communication signals|
|Data di pubblicazione:||2014|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|