Research Article
Fast Blind Spectrum Sensing Method Based on Multi-stage Wiener Filter
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@INPROCEEDINGS{10.1007/978-3-642-30493-4_25, author={Zhiqiang Bao and Guangyue Lu and Gang Yang and Huang Qingdong}, title={Fast Blind Spectrum Sensing Method Based on Multi-stage Wiener Filter}, proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers}, proceedings_a={WICON}, year={2012}, month={10}, keywords={Spectrum sensing subspace projection cognitive radio random matrix theory}, doi={10.1007/978-3-642-30493-4_25} }- Zhiqiang Bao
Guangyue Lu
Gang Yang
Huang Qingdong
Year: 2012
Fast Blind Spectrum Sensing Method Based on Multi-stage Wiener Filter
WICON
Springer
DOI: 10.1007/978-3-642-30493-4_25
Abstract
Spectrum sensing is the key problem for cognitive radio systems. A fast blind sensing method on Multi-Stage Wiener Filter (MSWF) of the received signals is proposed to sense the available spectrum for the cognitive users with the help of the multiple antennas at the receiver of the cognitive users. The greatest advantage of the new method is that it requires no information of the noise power and without any eign-decomposition (or SVD). Both the simulation and the analytical results demonstrate that the proposed method is effective, and almost the same performance compare with the eigen-value based methods.
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