计算机科学 ›› 2018, Vol. 45 ›› Issue (9): 166-170.doi: 10.11896/j.issn.1002-137X.2018.09.027

• 网络与通信 • 上一篇    下一篇

基于可信度的双门限DMM协作频谱感知算法

高鹏1, 刘芸江1, 高维廷1, 李曼2, 陈娟3   

  1. 空军工程大学信息与导航学院 西安7100771
    西安航空学院计算机学院 西安7100772
    91917部队 北京1024013
  • 收稿日期:2017-07-01 出版日期:2018-09-20 发布日期:2018-10-10
  • 通讯作者: 刘芸江(1976-),男,硕士生导师,主要研究方向为军事航空通信,E-mail:lyjafeu@163.com
  • 作者简介:高 鹏(1992-),男,硕士生,主要研究方向为频谱感知,E-mail:meickey123@163.com;高维廷(1984-),男,讲师,主要研究方向为频谱管理;李 曼(1977-),女,副教授,主要研究方向为计算机应用;陈 娟(1984-),女,助理工程师,主要研究方向为通信组网。
  • 基金资助:
    本文受国家自然科学基金(61571364),博士后科学基金(2016M603044)资助。

Double Thresholds DMM Cooperative Spectrum Sensing Algorithm Based on Credibility

GAO Peng1, LIU Yun-jiang1, GAO Wei-ting1, LI Man2, CHEN Juan3   

  1. Information and Navigation Institute,Air Force Engineering University,Xi’an 710077,China1
    Computer Institute,Xi’an Aeronautical University,Xi’an 710077,China2
    The Army of 91917,Beijing 102401,China3
  • Received:2017-07-01 Online:2018-09-20 Published:2018-10-10

摘要: 针对已有的双门限特征值频谱感知算法存在忽略本地感知用户可靠性差异及融合判决方式开销大的缺点,提出了一种基于可信度的双门限DMM协作频谱感知算法(DT-CDMM),用于进一步提升协作感知性能。所提算法在最大最小特征值差(DMM)算法的基础上,建立了基于特征极限分布的双门限DMM算法作为本地感知,采用触发式的软、硬判决相结合的判决机制来减少系统开销,以本地感知性能与可信度加权的方式得到全局判决结果,并对硬判决进行自适应补偿。仿真结果表明,较已有的双门限特征值算法以及双门限能量检测算法,DT-CDMM算法在噪声不确定的环境下提升了多用户协作检测的概率。

关键词: 可信度, 特征极限分布, 特征值, 协作频谱感知, 最大最小特征值差

Abstract: Because the eigenvalue-based double thresholds spectrum sensing algorithms overlook the reliability differencebetween second users(SU) and the highexpense of fusion decisions,a double thresholds DMM cooperative spectrum sensing algorithm based on credibility(DT-CDMM) was proposed to improve the sensing performance.Based on the difference between maximum and minimum eigenvalue(DMM) algorithm,a double thresholds DMM spectrum sensing algorithm based on limiting eigenvalue distribution is used as SU’s local sensing,a triggered mechanism combined with soft and hard decisions is established to cut the system expenses,the final decision is obtained via the weighting of SU’ssensing performance and local credibility,and a self-adaption compensation for hard decisions is applied.Theory analysis and simulations show that the DT-CDMMimproves the probability of multi-user collaborative detection compared with double eigenvalue thresholds algorithms and double thresholds energy detection algorithm when noise is undefined.

Key words: Cooperative spectrum sensing, Credibility, DMM, Eigenvalue, Limiting eigenvalue distribution

中图分类号: 

  • TN92
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