AUTOMATIC SIGNAL RECOGNITION FOR A FLEXIBLE SPECTRUM MANAGEMENT

Niclas Björsell, Pasquale Daponte, Luca De Vito, Sergio Rapuano
Abstract:
The paper presents the prototype of an automatic digital modulation classifier, to be used for signal recognition in frequency bands managed in a flexible way. The prototype is based on a Data Acquisition System, consisting of an Analog-to-Digital converter embedded in an evaluation board, a frame grabber and a Personal Computer. The modulation classifier is able to recognize the most used digital modulations. An experimental validation of the realized prototype in a radio environment is also provided.
Keywords:
modulation classification, spectrum management
Download:
IMEKO-WC-2009-TC4-690.pdf
DOI:
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Event details
Event name:
XIX IMEKO World Congress
Title:

Fundamental and Applied Metrology

Place:
Lisbon, PORTUGAL
Time:
06 September 2009 - 11 September 2009