Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

An Improved Eigenvalue-Based Channelized Sub-band Spectrum Detection Method

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_27,
        author={Chunjie Zhang and Shanshuang Li and Zhian Deng and Yingjun Hao},
        title={An Improved Eigenvalue-Based Channelized Sub-band Spectrum Detection Method},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Wideband digital receiver Sub-band spectrum detection Random matrix theory Covariance matrix Average eigenvalue},
        doi={10.1007/978-3-030-19086-6_27}
    }
    
  • Chunjie Zhang
    Shanshuang Li
    Zhian Deng
    Yingjun Hao
    Year: 2019
    An Improved Eigenvalue-Based Channelized Sub-band Spectrum Detection Method
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_27
Chunjie Zhang1,*, Shanshuang Li1,*, Zhian Deng1,*, Yingjun Hao1,*
  • 1: Harbin Engineering University
*Contact email: zhangchunjie@hrbeu.edu.cn, lishanshuang@hrbeu.edu.cn, dengzhian@hrbeu.edu.cn, 443567277@hrbeu.edu.cn

Abstract

Eigenvalue-based spectrum detection has become a research hot topic, which can make detection by catching correlation features in space and time domains. However, most existing methods only consider part of eigenvalues rather than all the eigenvalues. Motivated by this, this paper focuses on all the eigenvalues of sample covariance matrix in digital channelized system and proposes an improved sub-band spectrum detection method. Utilizing the distribution characteristics of the maximum eigenvalue of covariance matrix and the correlation of all the average eigenvalues, a better theoretical expression of detection threshold is obtained. The proposed method can not only overcome the affection of noise uncertainty, but also achieve high detection probability under low SNR environment. Simulations are performed to verify the effectiveness of the proposed method.