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基于OFDM符号宽度的循环平稳频谱感知方法

王俊 尹佳佳 黄凤英 陈喆 徐阳

王俊, 尹佳佳, 黄凤英, 陈喆, 徐阳. 基于OFDM符号宽度的循环平稳频谱感知方法[J]. 电子与信息学报, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577
引用本文: 王俊, 尹佳佳, 黄凤英, 陈喆, 徐阳. 基于OFDM符号宽度的循环平稳频谱感知方法[J]. 电子与信息学报, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577
WANG Jun, YIN Jiajia, HUANG Fengying, CHEN Zhe, XU Yang. OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method[J]. Journal of Electronics & Information Technology, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577
Citation: WANG Jun, YIN Jiajia, HUANG Fengying, CHEN Zhe, XU Yang. OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method[J]. Journal of Electronics & Information Technology, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577

基于OFDM符号宽度的循环平稳频谱感知方法

doi: 10.11999/JEIT170577
基金项目: 

国家自然科学基金(61673116, 61301096),福建省自然科学基金(2018J01789)

OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method

Funds: 

The National Natural Science Foundation of China (61673116, 61301096), The Natural Science Foundation of Fujian Province (2018J01789)

  • 摘要: 该文提出一种新的基于OFDM符号宽度的感知方法。该方法首先对接收到的每个OFDM符号在其符号周期内进行循环自相关函数的估计,然后利用多元统计理论计算判决量和判决门限,最后将判决量和判决门限进行比较从而得到判决结果。该方法是非参数化的,因而能够在噪声不确定的情况下有效工作,并且该方法能够极大简化目前循环平稳感知类算法的复杂度而只有细微的性能损失。此外,该文接着又提出一个非参数化多天线线性加权合并感知方法。仿真结果表明,所提合并方法通过合理地非参数化优化加权系数,与传统循环平稳感知方法相比,在复杂度显著降低的同时,性能几乎与传统循环平稳感知方法一致。
  • MITOLA J and MAGUIRE G Q. Cognitive radio: Making software radios more personal[J]. IEEE Personal Communications, 1999, 6(4): 13-18. doi: 10.1109/98.788210.
    ABDELMOHSEN A and WALAA H. Advances on spectrum sensing for cognitive radio networks: Theory and applications [J]. IEEE Communications Surveys Tutorials, 2017, 19(2): 1277-1304. doi: 10.1109/COMST.2016.2631080.
    ZENG Y and LIANG Y C. Eigenvalue-based spectrum sensing algorithms for cognitive radio[J]. IEEE Transactions on Communications, 2009, 57(6): 1784-1793. doi: 10.1109/ TCOMM.2009.06.070402.
    曹开田, 杨震. 一种新型的基于最大特征值的合作频谱感知算法[J]. 电子与信息学报, 2011, 33(6): 1367-1372. doi: 10.3724/SP.J.1146.2010.01091.
    CAO Kaitian and YANG Zhen. A novel cooperative spectrum sensing algorithm based on the maximum eigenvalue[J]. Journal of Electronics Information Technology, 2011, 33(6): 1367-1372. doi: 10.3724/SP.J.1146. 2010.01091.
    SAEID S, ABBAS T, SAEED G, et al. Eigenvalue-based multiple antenna spectrum sensing: Higher order moments[J]. IEEE Transactions on Wireless Communications, 2017, 16(2): 1168-1184. doi: 10.1109/TWC.2016.2640299.
    DANDAWATE A V and GIANNAKIS G B. Statistical tests for presence of cyclostationarity[J]. IEEE Transactions on Signal Processing, 1994, 42(9): 2355-2369. doi: 10.1109/ 78.317857.
    AREZUMAND H, AZMI P, and SADEGHI H. Cooperative spectrum sensing based on a low-complexity cyclostationary detection method for cognitive radio networks[C]. 2011 1st International eConference on Computer and Knowledge Engineering, Mashhad, Iran, 2011: 308-313. doi: 10.1109/ ICCKE.2011.6413370.
    CHOPRA R, GHOSH D, and MEHRA D K. Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals[J]. Physical Communication, 2016, 20: 17-32. doi: 10.1016/j.phycom.2016.04.004.
    ANDREA T, ROMANO F, and DANIA M. A low-complexity cyclostationary spectrum sensing for interference avoidance in femtocell LTE-A-based networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(4): 2747-2753. doi: 10.1109/ TVT.2015.2419877.
    WANG J, HUANG J, CHEN R, et al. Near-optimum nonparametric combination scheme for cyclostationarity- based spectrum-sensing method[J]. Circuits, Systems, and Signal Processing, 2017, 36(2): 867-878. doi: 10.1007/s00034- 016-0321-8.
    SENER D, ZOBIA I, PASCHALIS C S, et al. Sparse frequency domain spectrum sensing and sharing based on cyclic prefix autocorrelation[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(1): 159-172. doi: 10.1109 /JSAC.2016.2633058.
    TANDRA R and SAHAI A. SNR Walls for signal detection[J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1): 4-17. doi: 10.1109/JSTSP.2007.914879.
    GAO F, QIAN C, QIAN H, et al. Sensing and recognition for multiple-primary-power-level scenario with noise uncertainty [J]. IEEE Transactions on Vehicular Technology, 2017, 66(3): 2289-2300. doi: 10.1109/TVT.2016. 2574873.
    PREMA G and GAYATRI P. Blind spectrum sensing method for OFDM signal detection in cognitive radio communications[C]. 2014 International Conference on Communication and Network Technologies, Sivakasi, 2014: 42-47. doi: 10.1109/CNT.2014.7062722.
    ANDERSON T W. An Introduction to Multivariate Statistical Analysis[M]. Hoboken NJ: Wiley, 2004: 67-70, 176-178.
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出版历程
  • 收稿日期:  2017-06-14
  • 修回日期:  2017-11-23
  • 刊出日期:  2018-02-19

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