[1]聂梦雅,邵建华,李保珠,等.基于动态双门限和D-S证据理论的合作频谱感知算法[J].南京师范大学学报(工程技术版),2014,14(02):043.
　Nie Mengya,Shao Jianhua,Li Baozhu,et al.Cooperative Sensing Algorithm Based on Dynamic Double Threshold and DS Evidence Theory[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(02):043.
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基于动态双门限和D-S证据理论的合作频谱感知算法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
14卷
期数:
2014年02期
页码:
043
栏目:
出版日期:
2014-06-30

文章信息/Info

Title:
Cooperative Sensing Algorithm Based on Dynamic Double Threshold and DS Evidence Theory
作者:
聂梦雅; 邵建华; 李保珠; 于笃发
南京师范大学物理科学与技术学院,江苏 南京 210023
Author(s):
Nie Mengya; Shao Jianhua; Li Baozhu; Yu Dufa
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
认知无线电; 双门限; DS证据理论; 动态; 能量检测
Keywords:
cognitive radio; double threshold; DS evidence theory; dynamic; energy detection
分类号:
TN911
文献标志码:
A
摘要:
针对传统能量检测算法门限设置单一且不适应感知信道环境差异的问题,为了提高合作频谱感知结果的可靠性,减小网络开销和融合中心计算的负担,提出了将动态双门限能量检测和D-S证据理论相结合的合作频谱感知算法.在进行本地感知时,该算法可以让认知用户通过双门限能量检测方法直接得到本地判决结果,同时根据信道环境的变化自适应调整双门限值,并在双门限内使用D-S证据理论,感知双门限内未判决结果的信任度函数,将其发往融合中心,这样可以减少融合中心的计算量以及传输带来的网络开销.仿真结果表明,双门限D-S证据理论的融合结果要优于D-S证据理论和OR准则.
Abstract:
Considering energy detection algorithm’s shortages and the difference of channel,a cooperative sensing algorithm based on dynamic double threshold and DS theory is proposed to improve the reliability of spectrum sensing and reduce the burden of the cognitive radio network and the fusion center.This algorithm combines double threshold energy detection with DS evidence theory.By using the double threshold energy detection,some CR users obtain the local decision directly.At the same time,the two thresholds can be adjusted adaptively according to the status of channels.DS evidence theory is used in two thresholds that CR users need to send the local decision data to the FC and thus reduce the data transmission.Theoretical analysis and simulation results show that fusion of double threshold and DS evidence theory is better than DS evidence theory and OR criterion.

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备注/Memo

备注/Memo:
收稿日期:2014-01-15.
通讯联系人:邵建华,博士,教授,研究方向:电子对抗技术和认知无线电技术.E-mail:shaojianhua@njnu.edu.cn
更新日期/Last Update: 2014-06-30