Examination of Digital Modulations Classification Method based on Spectrogram Analysis on Signals Corrupted by Different Noises and Interferences
نویسنده
چکیده
In this paper a new method of modulation classification based on spectrogram analysis is described. The classification method can discriminate between various digital signal modulations such as FSK, BPSK, MSK, QPSK and QAM-16. This classification method is examined on signals corrupted by Gaussian noise, phase noise and on signals after their transmission through multipath Rayleigh fading channel. The Matlab program is used for the analysis. Key-Words: Digital modulation, Classification, Spectrogram, Modulation recognition, noise, interference.
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تاریخ انتشار 2009