Spectrum sensing algorithm based on symmetry of cyclic spectral correlation

Yu-long GAO; Yan-ping CHEN; Xiu-zhi GUAN; Zhong-zhao ZHANG; Xue-jun SHA

doi:1000-436X(2011)11-0021-06

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Spectrum sensing algorithm based on symmetry of cyclic spectral correlation

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- Spectrum sensing algorithm based on symmetry of cyclic spectral correlation
- Journal on Communications Vol. 32, Issue 11, Pages: 21-26(2011)
- 作者机构：
  
  1. 哈尔滨工业大学通信技术研究所，黑龙江哈尔滨 150080
  2. 哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：1000-436X(2011)11-0021-06
  CLC： TN913
- Online First：2011-11，
  
  Published：25 November 2011
- 稿件说明：
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Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, et al. Spectrum sensing algorithm based on symmetry of cyclic spectral correlation[J]. Journal on Communications, 2011, 32(11): 21-26.
DOI：

Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, et al. Spectrum sensing algorithm based on symmetry of cyclic spectral correlation[J]. Journal on Communications, 2011, 32(11): 21-26. DOI： 1000-436X(2011)11-0021-06.

摘要

针对现有基于循环谱的频谱感知算法的不足，利用改进SSCA算法计算接收信号的循环谱，减少算法的计算量；利用循环谱的对称性，选择非零循环频率处的循环谱抵抗干扰和噪声，结合对称性搜索策略进行频谱感知。分析并仿真了循环谱的参数对频谱感知算法的影响，仿真结果证明了所提出算法克服了传统算法的不足，提高了低信噪比下的正确检测性能。

Abstract

In response to the shortcoming of conventional algorithms

modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum

criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise

non-zero cyclic frequencies were selected.Finally

the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.

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references

JOSEPH MITOLA , MAGUIRE G Q J . Cognitive radio:making software radios more personal [J ] . IEEE Personal Communications , 1999 , 6 ( 4 ): 13 - 18 .

HAYKIN S . Cognitive radio brain-empowered wireless communications [J ] . IEEE Journal on Selected Areas in Communications , 2005 , 23 ( 2 ): 201 - 220

MA J , LI G Y . Signal processing in cognitive radio [J ] . Proceedings of the IEEE , 2009 , 97 ( 5 ): 805 - 823

HAYKIN S , THOMSON D J , JEFFREY H . Spectrum sensing for cognitive radio [A ] . Proceedings of the IEEE [C ] . 2009 , 97 ( 5 ): 849 - 877 .

GARDNER W A , NAPOLITANO A , PAURA L . Cyclostationarity:half a century of research [J ] . Signal Processing , 2006 , 86 : 639 - 697

SAHAI A , CABRIC D . Spectrum sensing:fundamental limits and practical challenges [A ] . IEEE Symposium on New Frontiers in Dyn Spectrum Access Network [C ] . Baltimore,USA , 2005

KAY S M . Fundamentals of Statistical Signal Processing:Detection Theory [M ] . Englewood Cliffs,NJ : Prentice-Hall , 1998 .

ENSERINK S , COCHRAN D . A cyclostationary feature detector [A ] . Proc 28th Asilomar Conf.Signals,Syst,Comput [C ] . CA,USA , 1994 .2: 806 - 810 .

陈星 , 贺志强 , 吴伟陵 . 基于循环平稳的多天线感知无线电频谱检测 [J ] . 北京邮电大学学报 , 2008 , 31 ( 2 ): 85 - 89 .

CHEN X , HE Z Q , WU W L . Cyclostationarity-based spectrum sensing technique in multi-antenna cognitive radio [J ] . Journal of Beijing University of Posts and Telecommunciations , 2008 , 31 ( 2 ): 85 - 89 .

LUNDEN J , KOIVUNEN V , HUTTUNEN A . Spectrum sensing in cognitive radios based on multiple cyclic frequencies [A ] . 2nd International Conference on CrownCom [C ] . Orlando,USA , 2007 . 37 - 43

刘航 , 于丹 , 孔祥维 . 低信噪比条件下提高认知无线电的频谱感知能力的方法 [J ] . 电子与信息学报 , 2009 , 31 ( 4 ): 993 - 996 .

LIU H , YU D , KONG X W . A new approach to improve the spectrum sensing in cognitive radio in low SNR environment [J ] . Journal of Electronics ＆ Information Technology , 2009 , 31 ( 4 ): 993 - 996 .

ELVINO A G . Spectrum sensing in cognitive radio networks:requirements,challenges and design trade-offs [J ] . IEEE Communications Magazine , 2008 , 4 : 32 - 39 .

虞贵财 , 罗涛 , 黄振 . 感知无线电系统中改进的循环频谱检测算法 [J ] . 北京邮电大学学报 , 2009 , 32 ( 2 ): 89 - 92 .

YU G C , LUO T , HUANG Z . An improved cyclic spectrum detection algorithm in CR systems [J ] . Journal of Beijing University of Posts and Telecommunciations , 2009 , 32 ( 2 ): 89 - 92 .

高玉龙 , 张中兆 . SSCA算法改进与实现 [J ] . 哈尔滨工业大学学报 , 2008 , 40 ( 9 ): 1374 - 1377 .

GAO Y L , ZHANG Z Z . Modification and implementation of SSCA algorithm [J ] . Journal of Harbin Institute of Technology , 2008 , 40 ( 9 ): 1374 - 1377 .

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