期刊文献+

一种基于可靠度的频谱感知算法 被引量:2

Reliability based spectrum sensing algorithms for primary detection in cognitive radio
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摘要 认知无线电系统中频谱感知的作用是有能力以尽量快且准确地确定是否有主用户存在。为了达到这个要求,提出了一种通过考虑感知结果可靠性的频谱感知算法。只有当认知同户的感知结果具有足够的可靠性时,才将其判决的二进制结果(0或1)直接发送到MAC层;否则,该认知用户同一阶特征技术重新检测该频段。由于一阶特征检测技术是在时域完成的,因此提出的算法具有实时操作和低功耗等优点。对提出的基于可靠性的频谱感知算法的感知性能进行理论分析研究,并对其进行了仿真。仿真结果表明:提出的这种频谱感知算法能够大大改善频谱感知性能相比于传统的能量检测器和一阶特征检测技术。 One of the main requirements of cognitive radio system is the ability to detect the presence of the primary user with precise accuracy. To achieve that goal, a spectrum sensing scheme considering the reliability of spectrum sensing was proposed. The sensing performance of the method was derived for both AWGN and Rayleigh fading channels. Results indicate that the proposed method can better improve sensing performance than the conventional energy detector.
出处 《解放军理工大学学报(自然科学版)》 EI 2008年第6期599-602,共4页 Journal of PLA University of Science and Technology(Natural Science Edition)
基金 江苏省科技厅自然科学基金重大资助项目(BK2007729) 江苏省高校自然科学重大基础研究资助项目(06KJA51001) 华为高校科技基金资助项目(YJCB2008039WL)
关键词 认知无线电 频谱感知 能量检测 循环平稳特征检测 cognitive radio spectrum sensing energy detection cyclostationary feature detection
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参考文献9

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同被引文献18

  • 1刘洪,张龙.群体沟通意见模式涌现的因素影响分析[J].复杂系统与复杂性科学,2004,1(4):45-52. 被引量:10
  • 2赵知劲,郑仕链,孔宪正.认知无线电中频谱感知技术[J].现代雷达,2008,30(5):65-69. 被引量:8
  • 3梁红玉,陈宏滨,赵峰.认知无线电协作频谱感知技术综述[J].广西通信技术,2011(2):38-44. 被引量:12
  • 4库纳尔.巴苏.推动中国市场营销发展的力作——评郭国庆教授的《市场营销管理:理论与模型》[J].经营者,1995,0(10):47-47. 被引量:6
  • 5刘叶玲,朱艳伟.加权数据融合算法及其应用举例[J].西安科技大学学报,2005,25(2):253-255. 被引量:20
  • 6GUO CAILI, ZHANG TIANKUI, ZENG ZHIMIN, et al. Investigation on spectrum sharing technology based on cognitive radio[ C]// First International Conference on Communieations and Networking in China. Washington, DC: IEEE Computer Society, 2006:1-5.
  • 7LIU MENG-YUN, LISHI-YIN, LIU QIONG. Cognitive radio spectrum sensing based on index belief degree function[ C]// 5th International Conference on Wireless Communications, Networking and Mobile Computing. Washington, DC: IEEE Computer Society,2009:1 -4.
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  • 9JAYAWEERA S K. Bayesian fusion performance and system optimization for distributed stochastic Gaussian signal detection under communication constraints[ J]. IEEE Transactions on Signal Processing, 2007,55(4) : 1238 - 1250.
  • 10ILERI O, SAMARDZIJA D, MANDAYAM N B. Demand responsive pricing and competitive spectrum allocation via a spectrum server[ C]//2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Washington, DC: IEEE Computer Society, 2005:194 -202.

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