北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (s1): 19-22.doi: 10.13190/jbupt.2011s1.19.lijj

• 论文 • 上一篇    下一篇

认知无线电中协作能量概率分布频谱感知方法

李佳俊,谈振辉,韩峰,乔晓瑜   

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  • 出版日期:2011-10-28 发布日期:2011-10-28
  • 作者简介:李佳俊(1985-),男,博士生,E-mail:jiajunlisun@gmail.com 谈振辉(1944-),男,教授,博士生导师
  • 基金资助:

    国家高技术研究发展计划项目(2009AA011805,2009AA011302); 国家自然科学基金项目(61071075,60830001, 61032002)

Energy Probability Distribution of Cooperative Spectrum Sensing in Cognitive Radios

    

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  • Online:2011-10-28 Published:2011-10-28
  • Supported by:
     

摘要:

提出了一种基于能量概率分布(EPD)的协作频谱感知算法,以提高认知无线电的检测性能.与传统能量检测使用能量均值做为检测统计量不同,EPD感知算法中的协作感知次用户统计大于给定门限值的采样信号个数,并传送给数据融合中心,数据融合中心将所有统计结果进行叠加,并与噪声的能量概率密度进行相关运算来获得判决结果.利用高斯近似理论分析所提出的EPD协作频谱感知算法的检测性能.仿真结果表明,协作用户数越多,新提出算法的检测性能比传统协作频谱感知硬判决算法越有优势,同时又不需要任何主用户的先验信息.

关键词: 认知无线电, 频谱感知, 能量概率分布, 协作

Abstract:

Cooperative spectrum sensing based on energy probability distribution (EPD) is proposed to improve the sensing performance of the cognitive radios. Instead of averaging the energy in the traditional energy detection scheme, each cooperative secondary user in the EPD scheme records the number of the received samples, its energy is over a given threshold. Correlation between the sum of the recorded numbers and the EPD of the noise is used at the data fusion center to reach a final decision. Gaussian approximation is used to analyze the performance of the proposed EPD spectrum sensing method. Simulation demonstrates that with the increase of cooperative users, the proposed scheme is of better performance than the traditional cooperative onebit hard spectrum sensing. No prior information is required in the proposed scheme.

Key words: cognitive radio, spectrum sensing, energy probability distribution, cooperation

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