计算机应用 ›› 2012, Vol. 32 ›› Issue (09): 2412-2417.DOI: 10.3724/SP.J.1087.2012.02412

• 网络与通信 • 上一篇    下一篇

基于混沌和声搜索的最优线性协作频谱感知算法

李岳洪,万频,王永华*,杨健,邓钦   

  1. 广东工业大学 自动化学院,广州 510006
  • 收稿日期:2012-03-20 修回日期:2012-05-15 发布日期:2012-09-01 出版日期:2012-09-01
  • 通讯作者: 王永华
  • 作者简介:李岳洪(1985-),男,湖南衡阳人,硕士研究生,主要研究方向:认知无线网络; 万频(1963-),男,江西上高人,副教授,博士,主要研究方向:计算机测控、网络、信息系统集成; 王永华(1979-),男,河北石家庄人,讲师,博士,主要研究方向:认知无线网络、物联网;杨健(1982-),男,安徽合肥人,讲师,博士,主要研究方向:无线认知网络、RFID; 邓钦(1988-),男,湖南怀化人,硕士研究生,主要研究方向:认知无线网络。
  • 基金资助:

    国家自然科学基金资助项目(61172156,61102034,61071038);广东工业大学博士启动基金资助项目(103042);深圳市生物、互联网、新能源产业发展专项资金资助项目(CXB201005250021A)

Optimal linear cooperation spectrum sensing method based on chaos harmony search algorithm

LI Yue-hong,WAN Pin,WANG Yong-hua*,YANG Jian,DENG Qin   

  1. School of Automation,Guangdong University of Technology,Guangzhou Guangdong 510006,China
  • Received:2012-03-20 Revised:2012-05-15 Online:2012-09-01 Published:2012-09-01

摘要: 为了进一步提高认知无线电频谱感知的准确性和可靠性,提出一种基于混沌和声搜索(CHS)的最优线性协作频谱感知算法。该算法基于能量检测的线性加权协作频谱感知模型,利用和声搜索(HS)算法本身的优化能力和混沌映射的遍历性、随机性等特点,通过求解最优权值的方法,提高频谱感知的性能。仿真实验结果表明,CHS算法的优化性能和收敛速度均优于传统的HS算法,基于CHS的最优线性协作频谱感知算法能够找到最优的权值,从而提高了复杂通信环境下的检测概率;并且在相同的虚警概率下,所提算法性能优于基于修正偏差因子的协作频谱感知算法。

关键词: 认知无线电, 频谱感知, 能量检测, 和声搜索算法, 混沌映射

Abstract: In order to improve the accuracy and reliability of cognitive radio spectrum sensing, an optimal linear cooperation spectrum sensing method based on Chaos Harmony Search (CHS) algorithm was proposed in this paper. This algorithm is based on the linear weighted cooperative spectrum sensing model with energy detection, using the optimization capability of Harmony Search (HS) and the traverse and randomness of chaotic system to find the optimal weight values and then improve the performances of spectrum sensing for cognitive radio networks. The simulation results show that the proposed algorithm has better optimal performance and convergence speed than the traditional HS algorithm. This CHS algorithm can obtain optimal weight values and improve the probability of detection in complex communications environment. Besides, cooperation spectrum sensing performance based on the proposed algorithm is better than the existing Modified Deflection Coefficient (MDC) method with the same false probability.

Key words: Cognitive Radio (CR), cooperation spectrum sensing, energy detection, Harmony Search (HS) algorithm, chaotic map

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