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认知无线电中协作能量概率分布频谱感知方法 被引量：1

Energy Probability Distribution of Cooperative Spectrum Sensing in Cognitive Radios
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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. 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.
作者 李佳俊 谈振辉 韩峰 乔晓瑜
机构地区 北京交通大学宽带无线移动通信研究所 轨道交通控制与安全国家重点实验室(北京交通大学) 马里兰大学电子和计算机工程系
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2011年第S1期19-22,共4页 Journal of Beijing University of Posts and Telecommunications
基金 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)
关键词 认知无线电 频谱感知 能量概率分布 协作 cognitive radio spectrum sensing energy probability distribution cooperation
分类号 TN91-55 [电子电信—通信与信息系统]
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参考文献7

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共引文献8

同被引文献14

  • 1Haykin S. Cognitive radio:Brain empowered wireless comunications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
  • 2Akyildiz I F, Lo B F, Balakrishnan R. Cooperative spectrum sensing in cognitive radio networks: A sur- vey[J]. Physical Communication, 2011, 4 (1) .. 40- 62.
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  • 4Lunden J, Kassam S A, Koivunen V. Robust non- parametric cyclic correlation-based spectrum sensing for cognitive radio[J]. IEEE Transactions on Signal Processing, 2010, 58(5) 38-52.
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  • 8Zou Q, Zheng S, Sayed A H. Cooperative sensing via sequential detection[J]. IEEE Transaction on Signal Processing, 2010, 58(12): 6266-6283.
  • 9Duan D, Yang L, Principe J C. Cooperative diversity of spectrum sensing for cognitiw radio networks[J]. IEEE Transactions on Signal Processing, 2010, 58 (6) : 3218-3227.
  • 10Duan D, Yang L. Cooperative spectrum sensing with ternary local decisions [J]. IEEE Communications Letters, 2012, 16(9): 1512-1515.

引证文献1

北京邮电大学学报
2011年 第S1期

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