Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

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
Zhiqiang Bao1,*, Guangyue Lu1,*, Gang Yang1,*, Huang Qingdong1,*
  • 1: Xi’an University of Posts and Telecommunications
*Contact email: baozhiqiang@xupt.edu.cn, gylu@xupt.edu.cn, yanggang@xupt.edu.cn, huangqingdong@xupt.edu.cn

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.