Title :
Digital modulation classification based on characteristic features and GentleBoost algorithm
Author :
Kubankova, Anna ; Kubanek, David ; Prinosil, Jiri
Author_Institution :
Dept. of Telecommun., Brno Univ. of Technol., Brno, Czech Republic
Abstract :
The paper describes algorithm for the classification of digital modulations and its testing with disturbed signals. 2ASK, 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK and 16QAM were chosen for recognition as the best-known digital modulations used in modern communication technologies. The method designed uses ten features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, instantaneous frequency and spectrum characteristic. The GentleBoost algorithm was used to analyze the features and classify the modulations. We used multipath fading channel to model signal propagation and disturbed the signal by white Gaussian noise for the purpose of testing the algorithm.
Keywords :
Gaussian noise; fading channels; phase shift keying; signal processing; 16QAM; 2ASK; 2FSK; 4FSK; 8PSK; BPSK; GentleBoost algorithm; MSK; QPSK; digital modulation classification; disturbed signal; instantaneous frequency; instantaneous phase; modern communication technology; multipath fading channel; signal propagation; signal recognition; spectrum characteristic; white Gaussian noise; Amplitude shift keying; Binary phase shift keying; Classification algorithms; Digital modulation; Frequency modulation; Classification algorithm; Digital modulation; Features extraction; Recognition of modulations;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-1410-8
DOI :
10.1109/TSP.2011.6043692
