Abstract
In this paper, we address the problem of digital modulation classification in Additive White Gaussian Noise (AWGN) for Pattern Based cognitive Communication System (PBCCS). In order to classify digital modulation signal reliably, we propose a cognitive receiver that is based on Wavelet filterbanks and Artificial Neural Network(ANN). We verify this system by using 3-bit, 4-bit and 5-bit glossary spaces. The performance of the proposed system is investigated through the simulations. The simulation results show that using wavelet transform and neural network, a signal-to-noise-ratio of -8, 0 and 4 dB is achieved at BER of 10-5.
| Original language | English |
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| Title of host publication | Proceedings of 21st European Wireless Conference, European Wireless 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9783800739769 |
| Publication status | Published - 2015 |
| Event | 21st European Wireless Conference, European Wireless 2015 - Budapest, Hungary Duration: 20 May 2015 → 22 May 2015 |
Publication series
| Name | Proceedings of 21st European Wireless Conference, European Wireless 2015 |
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Conference
| Conference | 21st European Wireless Conference, European Wireless 2015 |
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| Country/Territory | Hungary |
| City | Budapest |
| Period | 20/05/15 → 22/05/15 |
Bibliographical note
Publisher Copyright:© VDE Verlag GMBH, Berlin, Offenbach, Germany.
Keywords
- Cognitive radio
- Neural network
- Pattern based cognitive communication system
- Wavelet transform