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Abstract
Communication system recognition is major part of some civilian and military applications. The recognition of the system is done by inspecting the received signal properties like modulation type, carrier frequency, baud rate and so on. Therefore we need Automatic Modulation Recognition (AMR) methods plus carrier and baud rate estimation methods. In this paper we introduce a new AMR method based on time-domain and spectral features of the received signal. We have used neural network as the classifier. Some analog and digital modulations including AM, LSSB, USSB, FM, ASK2, ASK4, ASK8, PSK2, PSK4, PSK8, FSK2, FSK4, FSK8 and MSK are considered. Then using information from the received signal like baud rate, carrier frequency and modulating scheme the protocol used for signal transmission is detected.
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Department of Electrical and Electronic Engineering, Shiraz University, P.O.BOX : 71345-1457, Shiraz, Iran
Ali Reza Attar, Abbas Sheikhi & Ali Zamani
- Ali Reza Attar
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- Abbas Sheikhi
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- Ali Zamani
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Departamento de Computacao, Universida de Federal do Ceará, Campus do Pici - Bloco 910, 60455-760, Fortaleza, Ceará, Brazil
José Neuman de Souza
Cisco Systems, Inc., 10 West Tasman Drive, Bldg O/2, CA 95134, San Jose, USA
Petre Dini
IUT, University of Haute Alsace, 34, rue du Grillenbreit, 68008, Colmar, France
Pascal Lorenz
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© 2004 Springer-Verlag Berlin Heidelberg
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Attar, A.R., Sheikhi, A., Zamani, A. (2004). Communication System Recognition by Modulation Recognition. In: de Souza, J.N., Dini, P., Lorenz, P. (eds) Telecommunications and Networking - ICT 2004. ICT 2004. Lecture Notes in Computer Science, vol 3124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27824-5_16
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