Research Article
A Blind Spectrum-Sensing Method Based on Bartlett Decomposition
@INPROCEEDINGS{10.1109/ChinaCom.2011.6158233, author={Qi Ding and Weixia Zou and Zheng Zhou and Bin Li and Yabin Ye}, title={A Blind Spectrum-Sensing Method Based on Bartlett Decomposition}, proceedings={6th International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2012}, month={3}, keywords={cognitive radio spectrum sensing sample covariance matrix bartlett decomposition}, doi={10.1109/ChinaCom.2011.6158233} }- Qi Ding
Weixia Zou
Zheng Zhou
Bin Li
Yabin Ye
Year: 2012
A Blind Spectrum-Sensing Method Based on Bartlett Decomposition
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2011.6158233
Abstract
Spectrum sensing is a key element of Cognitive Radio communications. In this paper, a novel method is proposed based on the Bartlett decomposition of statistical covariance matrix. The proposed method exhibits good performance and robustness against noise uncertainty and without having to know any information of the primary signal and the transmission channel. Compared to other methods based on the statistical covariance matrix, the threshold of the proposed method is accurately calculated without assuming that the number of the signal samples is large enough. As a result, the performance of our method is superior to the others. Simulations based on wireless microphone signals are presented to verify our method.
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