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    覃振权

    • 副教授       硕士生导师
    • 性别:男
    • 毕业院校:中国科学技术大学
    • 学位:博士
    • 所在单位:软件学院、国际信息与软件学院
    • 学科:软件工程
    • 办公地点:开发区校区综合楼413.
    • 电子邮箱:qzq@dlut.edu.cn

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    A Diversity-based Algorithm for Energy Detection

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    论文类型:会议论文

    发表时间:2011-11-11

    收录刊物:EI、CPCI-S、Scopus

    卷号:462

    页面范围:336-343

    关键字:Spectrum Sensing; Energy Detection; Diversity Reception

    摘要:Energy detection is the most commonly used algorithm in spectrum sensing. For Unknown signal, the current energy detection has shortcomings on the performance of perceiving the primary users signals in AWGN channel or fading channel. The diversity technology can receive the correlation signals which contain the same information in different branches, then merge and output the signals to reduce the probability of deep fading at the receiving terminal greatly. Therefore, we introduce diversity into the energy detection to improve the ability of detection. Simulation result shows that, it can improve the cognitive ability and obtain diversity gain through reducing the impact of fading. With the increase of diversity numbers, our method obtains lower probability of false alarm detection and performs much better than the traditional energy detection.