Classification of Digital Modulations Mainly Used in Mobile Radio Networks by means of Spectrogram Analysis
作者： Anna Shklyaeva , Petr Kovar , David Kubanek
DOI: 10.1007/978-0-387-74159-8_33
关键词:
摘要: In this paper a new method of modulation classification is proposed. For the analysis, signals and their spectrograms were obtained in Matlab program. The based on spectrogram image recognition it can discriminate between various digital signal modulations, such as FSK, BPSK, MSK, QPSK QAM. was tested using modulated corrupted by Gaussian noise, well usable with signal-to-noise ratios low 10 dB.
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