Research on spectrum sensing technologies based on goodness of fit

Guangyue LU; Cai XU; Yinghui YE; Yin MI

doi:10.11959/j.issn.1000-0801.2016136

您当前的位置：

首页 >

文章列表页 >

Research on spectrum sensing technologies based on goodness of fit

research and development | 更新时间：2024-06-05

- Research on spectrum sensing technologies based on goodness of fit
- Observation and communication Vol. 32, Issue 5, Pages: 52-61(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016136
  CLC： TN92
- Published Online：2016-05，
  
  Published：20 May 2016
- 稿件说明：
移动端阅览
Guangyue LU, Cai XU, Yinghui YE, et al. Research on spectrum sensing technologies based on goodness of fit[J]. Observation and communication, 2016, 32(5): 52-61.
DOI：

Guangyue LU, Cai XU, Yinghui YE, et al. Research on spectrum sensing technologies based on goodness of fit[J]. Observation and communication, 2016, 32(5): 52-61. DOI： 10.11959/j.issn.1000-0801.2016136.

摘要

认知无线电技术实现了频谱资源的动态分配，提高了频谱资源的利用率。而准确高效的频谱感知是认知无线电的核心环节，因此研究快速高性能的频谱感知算法已经成为一个亟待解决的问题。近年来，拟合优度检验在频谱感知领域得到了广泛应用，实现了小采样点下的有效频谱感知技术。因此，基于拟合优度的频谱感知技术具有重要的研究意义。综述了GOF在频谱感知中的发展历程，介绍其基本原理、常见的拟合准则及拟合对象；然后在高斯信道下，对该类算法进行仿真对比；最后对GOF类算法的进一步研究进行了展望。

Abstract

Cognitive radio technology has achieved the dynamic allocation of spectrum resources

and improves the utilization rate of spectrum resources.Accurate and efficient spectrum sensing is the key step in cognitive radio.Developing a fast and high-performance spectrum sensing method has become an urgent problem to be solved.In recent years

goodness of fit（GOF）theory has been applied widely in the field of spectrum sensing and the effective spectrum sensing technology under small sample point has been implemented.Therefore

the research on spectrum sensing technology based on GOF has very significant value.The development process of GOF in areas of cognitive radio spectrum sensing was summarized

its basic principle common fitting criterion and fitting object were introduced.The simulation comparison of the algorithm was carried under the Gaussian channel and its prospects of further research was forecasted finally.

关键词

Keywords

references

KOLODZY P . Spectrum policy task force report [J ] . Federal Communications Commission Technology , 2002 , 40 ( 4 ): 147 - 158 .

ISLAM M H , KOH C L , OH S W , et al . Spectrum survey in Singapore:occupancy measurements and analysis [C ] // The 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications（CROWNCOM'08）， May 15 - 17 , 2008 , Singapore . New Jersey : IEEE Press , 2008 : 1 - 7 .

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

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

CABRIC D , MISHRA S M , BRADERSEN R W . Implementation issues in spectrum sensing for cognitive radios [C ] // The 38th Asilomar Conference on Signals System and Computers ， November 7 - 10 , 2004 , Monterey,Mexico . New Jersey : IEEE Press , 2004 : 772 - 776 .

DIGHAM F F , ALOUINI M S , SIMON M K . On the energy detection of unknown signals over fading channels [J ] . IEEE Transactions on Communications , 2007 , 55 ( 1 ): 21 - 24 .

TANDRA R , SAHAI A . SNR walls for signal detection [J ] . IEEE Journal of Selected Topics in Signal Processing , 2008 , 2 ( 1 ): 4 - 17 .

王颖喜，卢光跃 . 基于最大最小特征值之差的频谱感知技术研究 [J ] . 电子与信息学报 2010 , 32 ( 11 ): 2572 - 2574 .

WANG Y X ， LU G Y . DMM based spectrum sensing method for cognitive radio systems [J ] . Journal of Electronics &Information Technology , 2010 32 ( 11 ): 2572 - 2574 .

ZENG Y H , LIANG Y , Maximum-minimum eigenvalue detection for cognitive radio [C ] // The 18th Annual IEEE International Symposium on Personal,Indoor and Mobile Radio Communications （PIMRC'07）， September 3 - 7 , 2007 , Greece,Athens . New Jersey : IEEE Press , 2007 : 1 - 5 .

卢光跃，弥寅，包志强等 . 基于特征结构的频谱感知算法 [J ] . 西安邮电大学学报 2014 , 19 ( 2 ): 1 - 12 .

LU G Y ， MI Y ， BAO Z Q et al . Cooperative spectrum sensing algorithms based on eigenvalue structure of the received signal [J ] . Journal of Xi'an University of Posts and Telecommunications , 2014 19 ( 2 ): 1 - 12 .

弥寅，卢光跃 . 基于特征值极限分布的合作频谱感知算法 [J ] . 通信学报 2015 , 36 ( 1 ): 1 - 6 .

MI Y ， LU G Y . Cooperative spectrum sensing algorithms based on limiting eigenvalue distribution [J ] . Jounal of Communication , 2015 , 36 ( 1 ): 1 - 6 .

STEPHENS M A . EDF statistics for goodness of fit and some comparisons [J ] . Journal of the American Statistical Association , 1974 , 69 ( 347 ): 730 - 737 .

ANDERSON T W , DARLING D A . A test of goodness of fit [J ] . Journal of the American Statistical Association , 1954 , 49 ( 268 ): 765 - 769 .

WANG H , YANG E H , ZHAO Z , et al . Spectrum sensing in cognitive radio using goodness of fit testing [J ] . IEEE Transactions on Wireless Communications , 2009 , 8 ( 11 ): 5427 - 5430 .

SHARIPOV O S . Glivenko-Cantelli theorems [M ] . Berlin : Springer , 2011 : 612 - 614 .

LEI S , WANG H , SHEN L . Spectrum sensing based on goodness of fit tests [C ] // International Conference on Electronics,Communications and Control（ICECC）， September 9 - 11 , 2011 , Ningbo,China . New Jersey : IEEE Press , 2011 : 485 - 489 .

ZHANG G , WANG X , LIANG Y C , et al . Fast and robust spectrum sensing via Kolmogorov-Smirnov test [J ] . IEEE Transactions on Communications , 2010 , 58 ( 12 ): 3410 - 3416 .

ROSTAMI S , ARSHAD K , MOESSNER K . Order-statistic based spectrum sensing for cognitive radio [J ] . IEEE Communications Letters , 2012 , 16 ( 5 ): 592 - 595 .

叶迎晖，卢光跃，弥寅 . 利用样本特征的盲频谱感知算法 [J ] . 信号处理 2015 .

YE Y Y H ， LU G Y ， MI Y . Blind spectrum perception algorithm using the sample characteristics [J ] . Signal Processing , 2015 .

SHEN L , WANG H Q , ZHANG W , et al . Blind spectrum sensing for cognitive radio channels with noise uncertainty [J ] . IEEE Transactions on Wireless Communications , 2011 , 10 ( 6 ): 1721 - 1724 .

YE Y H , LU G Y . Blind spectrum sensing based on the ratio of mean square to variance [J ] . Journal of China Universities of Posts & Telecommunications , 2016 , 23 ( 1 ): 42 - 48 .

苏杭，叶迎晖，，卢光跃 . 基于二项分布的快速盲频谱感知算法 [J ] . 电视技术 2016 , 40 ( 4 ): 96 - 100 .

SU H ， YE Y H ， LU G Y . Fast blind spectrum perception algorithm based on the binomial distribution [J ] . Journal of TV Technology , 2016 40 ( 4 ): 96 - 100 .

PATEL D K , TRIVEDI Y N . Non-parametric blind spectrum sensing based on censored observations for cognitive radio . Journal of Signal Processing Systems , 2015 , 78 ( 3 ): 275 ～ 281

卢光跃，叶迎晖，孙宇等 . 克服噪声不确定度的拟合优度检验频谱感知算法 [J ] . 电讯技术 2016 , 56 ( 1 ): 24 - 29 .

LU G Y ， YE Y H ， SUN Y et al . Spectrum sensing method based on goodness of fit test under noise uncertainty [J ] . Telecommunication Technology , 2016 , 56 ( 1 ): 24 - 29 .

YE Y H , LU G Y . Blind spectrum perception algorithm using student distribution [C ] // The 10th National Radio Application and Management of Academic Conferences ， December 6 , 2015 , Nanjing,China . Beijing : People's Posts and Telecommunications Press , 2015 : 80 - 84 .

沈雷，王海泉，赵知劲等 . 认知无线电中基于拟合优度的频谱盲检测算法研究 [J ] . 通信学报 2011 , 32 ( 11 ): 27 - 34 .

SHEN L ， WANG H Q ， ZHAO Z J et al . Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power [J ] . Journal of Communication , 2011 , 32 ( 11 ): 27 - 34 .

NGUYEN-THANH N , KIEU-XUAN T , KOO I . Comments on“spectrum sensing in cognitive radio using goodness of fit testing” [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 10 ): 3409 - 3411 .

TEGUIG D , MARTIN T , SCHEERS B . Spectrum sensing method based on goodness of fit test using chi-square distribution [J ] . Electronics Letters , 2014 , 50 ( 9 ): 713 - 715 .

王海泉，雷绍婷，沈雷 . 快衰落信道下修正的卡方-AD联合检测 [J ] . 电路与系统学报 2013 , 18 ( 1 ): 28 - 32 .

WANG H Q ， LEI S T ， SHEN L . Modified chi-square-AD joint detection on fast fading channels [J ] . Advances in New and Renewable Enengy , 2013 18 ( 1 ): 28 - 32 .

JIN M , GUO Q , XI J , YU Y . Spectrum sensing based on goodness of fit test with unilateral alternative hypothesis [J ] . Electronics Letters , 2014 , 50 ( 22 ): 1645 - 1646 .

TEGUIG D . Spectrum sensing method based on the likelihood ratio goodness of fit test [J ] . Electronics Letters , 2015 , 3 ( 9 ): 488 - 494 .

TEGUIG D , SCHEERS B , NIR V L , et al . Spectrum sensing method based on the likelihood ratio goodness of fit test under noise uncertainty [J ] . Esrsa Publications , 2014 , 3 ( 3 ): 488 - 494 .

PATEL D K , TRIVEDI Y N . Goodness-of-fit-based non-parametric spectrum sensing under Middleton noise for cognitive radio [J ] . Electronics Letters , 2015 , 51 ( 5 ): 419 - 421 .

叶迎晖，卢光跃 . 基于相关系数的多天线协作盲检测算法 [J ] . 电视技术 2016 , 40 ( 4 ): 65 - 68 .

YE Y H ， LU G Y . Multiple antenna collaboration blind detection algorithm based on correlation coefficient [J ] . Journal of TV Technology , 2016 , 40 ( 4 ): 65 - 68 .

沈雷，陈佩，王海泉，等 . 多输入多输出系统基于特征函数频谱盲检测 [J ] . 电波科学学报 2013 , 28 ( 6 ): 1110 - 1115 .

SHEN L ， CHEN p ， WANG H Q et al . Bind spectrum sensing in MIMO cognitive radio channels [J ] . Chinese Journal of Radio Science , 2013 , 28 ( 6 ): 1110 - 1115 .

沈雷，王海泉，赵知劲 . 认知无线电中基于拟合优度的多天线协作频谱检测 [J ] . 电路与系统学报 2010 , 15 ( 5 ): 79 - 84 .

SHEN L ， WANG H Q ， ZHAO Z J . Cooperative spectrum sensing based on goodness of fit in multi-antenna cognitive radio [J ] . Journal of Circuits and Systems , 2010 , 15 ( 5 ): 79 - 84 .

王海泉，潘伟丽，沈雷 . 正交频分复用系统的拟合优度检测算法 [J ] . 电波科学学报 2013 , 28 ( 1 ): 142 - 146 .

WANG H Q ， PAN W L ， SHEN L . A spectrum sensing method based on goodness of fit testing for OFDM systems [J ] . Chinese Journal of Radio Science , 2013 , 28 ( 1 ): 142 - 146 .

SINCLAIR C D , SPURR B D , AHMAD M I . Modified anderson darling test [J ] . Communication in Statistics-Theory and Methods , 1990 , 19 ( 10 ): 3677 - 3686 .

Views

756

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spectrum sensing algorithm based on average value of middle part of power spectral density

Trust-Based Cooperative Spectrum Sensing Algorithm in Power Dedicated Network

A spatial diversity cooperative spectrum sensing system based on blockchain and deep learning

Design method of energy efficiency optimization in PLC-RF wireless transmission networks

Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution

Related Author

Zhijin ZHAO

Xi LV

Shilian ZHENG

Jinping Cao

Wei Li

Yiying Zhang

Zhongshan XIAO

Chunqi WANG

Related Institution

State Key Lab of Information Control Technology in Communication System of No.36 Research Institute,China Electronic Technology Corporation

Zhejiang Provincial Key Lab of Data Storage and Transmission Technology,Hangzhou Dianzi University

State Grid Information ＆ Telecommunication Branch

North China Grid Co.,Ltd.

The State Radio Monitoring Center

⁰