期刊文献+

基于分形盒维数的频谱感知技术研究 被引量:41

Spectrum Sensing in Cognitive Radios Based on Fractal Box Dimension
下载PDF
导出
摘要 为了降低频谱感知的计算复杂度,提高感知性能,该文提出基于分形盒维数的频谱感知方法。由于噪声与信号盒维数值存在差异,将分形盒维数作为检验统计量。仿真结果表明,该方法在高斯白噪声环境下,具有良好的检测性能,对噪声不敏感。并且计算复杂度低,易工程实现。 To reduce the computational complexity of spectrum sensing and improve the spectrum sensing performance,a spectrum sensing method based on the fractal box dimension was proposed.As the box dimensions of noise and signal are different,the fractal box dimension is used as test statistics.The simulation results demonstrate the proposed method has good detection performance under Gaussian white noise,and it is not sensitive to the noise.Furthermore,this method is low computational complexity and easy to implement.
出处 《电子与信息学报》 EI CSCD 北大核心 2011年第2期475-478,共4页 Journal of Electronics & Information Technology
关键词 认知无线电 频谱感知 分形理论 分形盒维数 Cognitive radio Spectrum sensing Fractal theory Fractal box dimension
  • 相关文献

参考文献11

  • 1Sridhara K, Chandra A, and Tripathi P S M. Spectrum challenges and solutions by cognitive radio: an overview [J]. Wireless Personal Communications, 2008, 45(3): 281-291.
  • 2Haykin S. Cognitive radio: brain-empowered wireless communications [J]. IEEE Journal Selected Areas in Commun., 2005, 23(2): 201-220.
  • 3Chen Xiao-fei and Nagaraj S. Entropy based spectrum sensing in cognitive radio [C]. 7th Annual Wireless Telecommunications Symposium, Ponoma, CA, United States, April 2008: 57-61.
  • 4Cabrie D, Mishra S M, and Brodersen R W. Implementation issues in spectrum sensing for cognitive radios [C]. Proc. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, United States, Nov. 2004, 1: 772-776.
  • 5Jarmo L, Visa K, Anu H, and Vincent P H. Spectrum sensing in cognitive radios based on multiple cyclic frequencies [C]. Proceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom, Orlando, FL, United States, August 2007: 37-43.
  • 6Renzo M D, Imbriglio L, and Graziosi F, et al. Cooperative spectrum sensing for cognitive radios: Performance analysis for realistic system setups and channel conditions [M]. Mobile Lightweight Wireless Systems, Berlin, Springer Berlin Heidelberg, 2009: 125-134.
  • 7Lunden J and Koivunen V, et al. Collaborative cyclostationary spectrum sensing for cognitive radio systems [J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4182-4195.
  • 8崔丽,王金龙,吴启晖,郑学强.认知无线电中基于信息简约的最大似然协同频谱感知算法[J].电子与信息学报,2009,31(9):2177-2182. 被引量:3
  • 9Hu Z and Guo N, et al. Wideband waveform optimization with energy detector receiver in cognitive radio[C]. IEEE SoutheastCon 2010 Conference: Energizing Our Future, Charlotte-Concord, NC, United States, March 2010: 198-203.
  • 10吕铁军,郭双冰,肖先赐.调制信号的分形特征研究[J].中国科学(E辑),2001,31(6):508-513. 被引量:64

二级参考文献15

  • 1Mitola J. Cognitive radio: Making software radios more personal [J]. IEEE Personal Communications, 1999, 6(4): 13-18.
  • 2Haykin S. Cognitive radio: Brain-empowered wire-less communications [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
  • 3Cabric DI Mishra S, and Brodersen R. Implementation issues in spectrum sensing for cognitive radios [C]. Proc. Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, California, Nov. 2004, Vol. 1: 772-776.
  • 4Digham F F, Alouini M S, and Simon M K. On the energy detection of unknown signals over fading channels [J]. IEEE Transactions on Communications, 2007, 55(1): 21-24.
  • 5Kim K. Cyclostationary approaches to signal detection and classification in cognitive radio [C]. 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin, 17-20 April 2007: 212-215.
  • 6Youn Youngwoo, Jeon Hyoungsuk, Jung Hoiyoon, and Lee Hyuckjae. Discrete wavelet packet transform based energy detector for cognitive radios [C]. IEEE 65th Vehicular Technology Conference, Dublin, 22-25 April 2007: 2641-2645.
  • 7Park J, Hut Y, Song T J, Kim K, Lee J, Lim K, Lee C H, Kim H S, and Laskar J. Implementation issues of a wideband multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems [C]. 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Mykonos Island, 8-10 June 2006: 1-5.
  • 8Quan Zhi, Cui Shuguang, and Aayed A H. Optimal linear cooperation for spectrum sensing in cognitive radio networks [J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1): 28-40.
  • 9Visotsky E, Kuffner S, and Peterson R. On collaborative detection of TV transmissions in support of dynamic spectrum sensing[C]. Proc. IEEE DYSPAN, USA, November, 2005: 338-345.
  • 10Sun C, Zhang W, and Letaief K B. Cluster-based cooperative spectrum sensing for congnitive radio systems [C]. IEEE International Conference on Communications(ICC), Glasgow Scotland, UK, June 24-28, 2007: 2511-2515.

共引文献65

同被引文献329

引证文献41

二级引证文献118

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部