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电子学报文章格局模板-数据收集与处理.doc 7页

整理时间:2020-04-03 02:20 热度:°C

  基于截断型序贯检测的协作频谱感知算法(

  李明源 李鸥 王勇锋 栾红志 于鹏

  (,)

  摘要且目标检测功用相反的条件下,比拟现有的能量检测算法,所提算法在和两种状况下辨别增加了55.86%和37.51%的平均样本数。

  关键词

  中图分类号:TN92 文献标识码A

  A Cooperative Spectrum Sensing Algorithm Based on Truncated Sequential Detection

  Li Mingyuan, Li Ou, Wang Yongfeng, Luan Hongzhi, Yupeng

  (Institute of Information system Engineering, Information Engineering University, Zhengzhou, 450002, China)

  Abstract: For cognitive users with low SNR at transceiver front-end, a cooperative spectrum sensing algorithm based on truncated sequential probability radio test (SPRT) is proposed to improve the sensing performance. A split-phase processing method is employed firstly; all the CR nodes involved quantities of its local energy-based sensing samples and compared with specified threshold consequently. Instead of sending all the sensing results of cooperative CR user, only the number of sampling points bigger than the threshold is sent to fusion center serving as local detection statistics, which greatly lowers transmission overhead on common control channel. Gaussian distribution is approximately obtained based on DeMoivre-Laplace theorem and central limit theorem, computation complexity and deriving process of likelihood ratio function is reasonably simplified. Theoretical analysis and simulation results indicate that, compared with existing energy-detection sensing method, the proposed algorithm reduces the average sample number around 55.86% and 37.51% under the conditions of and while the average SNR of CR users is -15dB.

  Key words: cognitive radio networks; cooperative spectrum sensing; truncated sequential probability radio test; energy detection; average sample number

   引 言

  随着无线通信技巧的迅猛开展,频谱资本匮乏的后果日趋浮现。然则,美国联邦通信委员会2002宣布的研究数据标明,很多授权频段的频谱资本并未掉掉落充沛应用。针对这一后果,Joseph Mitola博士首次最早提出了认知无线电[1](CR, Cognitive Radio)的概念,并遭到了业界的遍及存眷。作为CR的主要义务和关键技巧,频谱感知可以有效的防止对主用户(PU, Primary User)形成搅扰,发明频谱空洞进而提高频谱应用率[2]。然则,在实践中,因为诸如多径式微,阴影效应和回收机不肯定等要素的存在,严重影响了单个CR用户的感知功用。而协作频谱感知可以应用空间分集进一步提高检测功用,是今朝最有潜力的一种频谱感知方


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