Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings

Research Article

Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection

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  • @INPROCEEDINGS{10.1007/978-3-319-72998-5_24,
        author={Lu Chen and Xiaoqin Wu and Yong Bai},
        title={Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection},
        proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings},
        proceedings_a={WICON},
        year={2018},
        month={1},
        keywords={Spectrum sensing Energy detection
     Sample autocorrelation detection GNU Radio},
        doi={10.1007/978-3-319-72998-5_24}
    }
    
  • Lu Chen
    Xiaoqin Wu
    Yong Bai
    Year: 2018
    Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection
    WICON
    Springer
    DOI: 10.1007/978-3-319-72998-5_24
Lu Chen1, Xiaoqin Wu1, Yong Bai1,*
  • 1: Hainan University
*Contact email: bai@hainu.edu.cn

Abstract

Wideband spectrum sensing capability by using multi-step energy detection has been enabled in GNU Radio software radio platform. To improve the detection performance, we propose a novel approach of wideband spectrum sensing by multi-step sample autocorrelation detection. We first describe the principle of signal sample autocorrelation detection, then we present our proposed multi-step sample autocorrelation detection procedure for wideband spectrum sensing. The proposed procedure is simulated by using MATLAB, and the simulation results demonstrate that our proposal can achieve required detection performance by setting proper decision threshold.