Artificial Neural Network Based Spectrum Sensing Method for Cognitive Radio

Spectrum sensing is a key technology of cognitive radio (CR). In CR systems, the main requirement of spectrum sensing is the ability of rapid and accurate detection of the presence of the primary user. In this paper, we propose a spectrum sensing method using artificial neural network (ANN). Detaile...

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Bibliographic Details
Main Authors: Yu-Jie Tang, Qin-Yu Zhang, Wei Lin
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Artificial neural networks
Chromium
Cognitive radio
Feature extraction
Sensors
Signal to noise ratio
Training
Online Access:Request full text
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Summary:Spectrum sensing is a key technology of cognitive radio (CR). In CR systems, the main requirement of spectrum sensing is the ability of rapid and accurate detection of the presence of the primary user. In this paper, we propose a spectrum sensing method using artificial neural network (ANN). Detailed analysis shows that the proposed scheme is appropriate to detect the signals under considerably low signal-to-noise ratio (SNR) environment and has reliable performance. Simulations also illustrate that the discussed method outperforms over previous approaches in noisy environment when sensing the spectrum for CR systems.
ISSN:2161-9646
DOI:10.1109/WICOM.2010.5601105