@inproceedings{7f9016c476b447b592c261d7af73cb02,
title = "Artificial neural network based spectrum sensing method for cognitive radio",
abstract = "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.",
keywords = "Artificial neural network, Cognitive radio, Feature abstraction, Spectrum sensing",
author = "Tang, \{Yu Jie\} and Zhang, \{Qin Yu\} and Wei Lin",
year = "2010",
doi = "10.1109/WICOM.2010.5601105",
language = "英语",
isbn = "9781424437092",
series = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010",
booktitle = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010",
note = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 ; Conference date: 23-09-2010 Through 25-09-2010",
}