Abstract
In this paper a new method of modulation classification is proposed. For the analysis, modulation signals and their spectrograms were obtained in the Matlab program. The classification method is based on spectrogram image recognition and it can discriminate between various digital signal modulations, such as FSK, BPSK, MSK, QPSK and QAM. The new method was tested using modulated signals corrupted by Gaussian noise, and it is well usable with signal-to-noise ratios as low as 10 dB.
Please use the following format when citing this chapter: Shklyaeva, A., Kovar, P., Kubanek, D., 2007, in IFIP International Federation for Information Processing, Volume 245, Personal Wireless Communications, eds. Simak, B., Bestak, R., Kozowska, E., (Boston: Springer), pp. 341–348.
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Shklyaeva, A., Kovar, P., Kubanek, D. (2007). Classification of Digital Modulations Mainly Used in Mobile Radio Networks by means of Spectrogram Analysis. In: Bestak, R., Simak, B., Kozlowska, E. (eds) Personal Wireless Communications. IFIP — The International Federation for Information Processing, vol 245. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74159-8_33
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DOI: https://doi.org/10.1007/978-0-387-74159-8_33
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-74158-1
Online ISBN: 978-0-387-74159-8
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