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认知无线电频谱感知技术综述 被引量:16

Overview on Cognitive Radio Spectrum Sensing Technology
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摘要 针对人为性的电磁频谱资源匮乏问题,认知无线电技术有效提高了频谱资源利用率,而作为其核心技术的频谱感知成为研究的热点。国内外学者相继提出了各种频谱感知算法,不同方面不同程度改善了频谱检测性能,使其逐步适应复杂的电磁环境,提高利用率,破除人为性资源匮乏的制约。因此,综述频谱感知技术的发展历程,分析低信噪比下单节点和协作频谱感知性能,对比介绍了协作频谱感知系统结构和信息融合原则,最后指出频谱感知技术的发展趋势及存在的挑战。 In view of the man-made electromagnetic spectrum resources scarcity, cognitive radio could effectively improve the utilization of spectrum resources, and spectrum sensing, as its core technology, now become a hot research topic. Domestic and foreign scholars successively propose various spectrum sensing algorithms, thus to improve the spectrum–detection performance in different aspects and different degrees, make it gradually adapt to the complex electromagnetic environment, improve utilization, eliminate man-made constraints of resource scarcity. In view of this, the development history of spectrum sensing technology is summarized, the single node and cooperative spectrum sensing performance under low signal to noise ratio (SNR) analyzed. In addition, the structure of cooperative spectrum sensing system and the principle of information fusion are described. Finally, the development trend and existing challenges of spectrum sensing technology are presented.
机构地区 火箭军工程大学
出处 《通信技术》 2018年第2期261-265,共5页 Communications Technology
关键词 认知无线电 低信噪比 信息融合 协作频谱感知 cognitive radio low SNR information fusion cooperative spectrum sensing
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  • 1徐家品,杨智.基于随机矩阵特征值比的频谱感知改进算法[J].电波科学学报,2015,30(2):282-288. 被引量:13
  • 2HAYKIN S. Cognitive radio: brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005,23 (2) : 201 - 220.
  • 3AKYILDIZ I F, LEE W Y, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey [J]. Computer Networks, 2006,50(13) :2127 - 2159.
  • 4ZHU J, ZI-IENG B Y. Detection probability analysis of cooperative spectrum sensing in Rayleigh fading channels[A]. Proc ICIS 2009[C].New York: IEEE Press, 2009.683 - 685.
  • 5Vistotsky E, Kuffner S, Peterson R. On collaborative detection of TV transmissions in support of dynamic spectrum sharing [A] .Proc IEEE DySPAN[C]. New York: IEEE Press,Nov, 2005. 338 - 345.
  • 6GHASEMI A, SOUSA E S. Spectlum sensing in cognitive radio networks: the cooperation-processing tmdeoff [J]. Wireless Communications and Mobile Computing, 2(107,9 (7) : 1049 - 1060.
  • 7FTTZEK F H P, KATZ M D. Cognitive Wireless Networks [M]. New York: Springer, 2007.25 - 50.
  • 8MA J, LI Y. Soft combination and detection for cooperative spectrum sensing in cognitive radio networks [ A ]. Proc GLOBECOM 2007[ C]. New York: IEEE Press, Nov, 2007. 3139 - 3143.
  • 9LUNDEN J, KOIVUNEN V, HuTrUNEN A, et al. Spectrum sensing in cognitive radios based on multiple cyclic frequencies A 3. Proc CROWNCOM 2007[C]. New York: IEEE Press, Aug, 2007.37 - 43.
  • 10FEHSKE A, GAEDDERT J D, et al. A new approach to signal classification using spectral correlation and neural networks [A]. Proc IEEE DySPAN[ C ]. New York: 1EEE Press, Nov, 2005,144 - 150.

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