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Automatic recognition of digitally modulated communications signals

Conference Paper


Abstract


  • This paper introduces an algorithm that extends the capability of digital modulations classifiers to cope with signals that have memory incorporated in their modulation scheme. The algorithm employs the decision-theoretic approach where the identification of different modulation types is performed by developing a set of decision criteria. The performance of the classifier has been evaluated by simulating different types of bandlimited digital signals corrupted by Gaussian noise. It is shown that the overall success rate is over 94% at the signal to noise ratio (SNR) of 10 dB with some modulation schemes detected with success rate of 100% at this SNR. © 1999 IEEE.

Publication Date


  • 1999

Citation


  • Ramakomar, V., Habibi, D., & Bouzerdoum, A. (1999). Automatic recognition of digitally modulated communications signals. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications Vol. 2 (pp. 753-756). doi:10.1109/ISSPA.1999.815781

Scopus Eid


  • 2-s2.0-72549093702

Web Of Science Accession Number


Start Page


  • 753

End Page


  • 756

Volume


  • 2

Abstract


  • This paper introduces an algorithm that extends the capability of digital modulations classifiers to cope with signals that have memory incorporated in their modulation scheme. The algorithm employs the decision-theoretic approach where the identification of different modulation types is performed by developing a set of decision criteria. The performance of the classifier has been evaluated by simulating different types of bandlimited digital signals corrupted by Gaussian noise. It is shown that the overall success rate is over 94% at the signal to noise ratio (SNR) of 10 dB with some modulation schemes detected with success rate of 100% at this SNR. © 1999 IEEE.

Publication Date


  • 1999

Citation


  • Ramakomar, V., Habibi, D., & Bouzerdoum, A. (1999). Automatic recognition of digitally modulated communications signals. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications Vol. 2 (pp. 753-756). doi:10.1109/ISSPA.1999.815781

Scopus Eid


  • 2-s2.0-72549093702

Web Of Science Accession Number


Start Page


  • 753

End Page


  • 756

Volume


  • 2