Covariance matrix opportunistic cooperative spectrum sensing of high detection probability

Shunlan LIU; Jing WANG; Jianrong BAO

doi:10.11959/j.issn.1000−0801.2019001

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Covariance matrix opportunistic cooperative spectrum sensing of high detection probability

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

- Covariance matrix opportunistic cooperative spectrum sensing of high detection probability
- Telecommunications Science Vol. 35, Issue 1, Pages: 67-73(2019)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000−0801.2019001
  CLC： TN925
- Published Online：2019-01，
  
  Published：20 January 2019
- 稿件说明：
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Shunlan LIU, Jing WANG, Jianrong BAO. Covariance matrix opportunistic cooperative spectrum sensing of high detection probability[J]. Telecommunications science, 2019, 35(1): 67-73.
DOI：

Shunlan LIU, Jing WANG, Jianrong BAO. Covariance matrix opportunistic cooperative spectrum sensing of high detection probability[J]. Telecommunications science, 2019, 35(1): 67-73. DOI： 10.11959/j.issn.1000−0801.2019001.

摘要

针对现有频谱感知算法检测概率较低导致的感知性能较差的问题，提出了协方差矩阵机会协作（covariance matrix opportunity cooperation

CMOC）频谱感知算法。该算法在传统协方差矩阵感知基础上，通过奇偶时隙划分实现机会协作，且根据错误虚警概率和门限间的关系，推导出检测概率的解析解，可较精确地实现频谱感知检测。仿真结果验证了所提算法可明显提高频谱感知的检测概率。在瑞利衰落信道的信噪比为−10 dB时，相对于现有无中继协作的能量检测频谱感知算法和无中继协作的协方差频谱感知算法，检测概率分别提高0.19和0.13。而且，该算法还具有较高能效且复杂度适中，非常适合新一代无线通信频谱认知应用。

Abstract

According to the problem of poor sensing performance caused by the existing spectrum sensing algorithm

the covariance matrix opportunistic cooperative (CMOC) spectrum sensing algorithm was proposed. Based on the traditional covariance matrix spectrum sensing algorithm

odd and even slots were divided by the new proposed algorithm

then opportunistic cooperation was added. The relationship between the false alarm probability and the threshold of the new algorithm was also analyzed

and the analytic detection probability was deduced for the actualization of the more accurate spectrum sensing detection. The simulation results verify that the proposed algorithm obviously improves the detection probability. In Rayleigh fading channel

the detection probability is increased by 0.19 and 0.13

which compared with the existing energy detection spectrum sensing algorithm without relay cooperative and the covariance matrix spectrum sensing algorithm without relay cooperation

when the SNR is −10 dB. Moreover

the proposed algorithm has high energy efficiency as well as the moderate computational complexity

so it is especially suited for the spectrum cognition applications in the new generation wireless communication.

关键词

Keywords

references

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

KUMAR B N , PREMA S C . Noise variance estimation through penalized least-squares for ED-spectrum sensing [C ] // International Conference on Communication Systems and Networks , December 14 - 16 , 2016 , Shenzhen, China . Piscataway : IEEE Press , 2016 : 23 - 27 .

WU J Y , HUANG P H , WANG T Y , et al . Energy detection based spectrum sensing with random arrival and departure of primary user's signal [C ] // GLOBECOM Workshops , December 6 - 10 , 2015 , San Diego, CA, USA . Piscataway : IEEE Press , 2013 : 380 - 384 .

CHABBRA K , MAHENDRU G , BANERJEE P . Effect of dynamic threshold & noise uncertainty in energy detection spectrum sensing technique for cognitive radio systems [C ] // International Conference on Signal Processing and Integrated Networks , Feb 20 - 21 , 2014 , Noida, India . Piscataway : IEEE Press , 2014 : 377 - 361 .

付彩梅，李有明，周桂莉，等 . 一种基于能量检测的协作式频谱感知算法 [J ] . 电信科学， 2016 , 32 ( 9 ): 52 - 60 .

FU C M , LI Y M , ZHOU G L , et al . A hybrid indoor localization algorithm based on RSSI and inertial navigation [J ] . Telecomunications Science , 2016 , 32 ( 9 ): 52 - 60 .

SALEM F M , IBRAHIM M H , ALI I A , et al . Matched-filter-based spectrum sensing for secure cognitive radio network communications [J ] . International Journal of Computer Applications , 2014 , 87 ( 1 ): 41 - 46 .

ZHANG X , CHAI R , GAO F . Matched filter based spectrum sensing and power level detection for cognitive radio network [C ] // Signal and Information Processing , Dec 3 - 5 , 2014 , Atlanta, GA, USA . Piscataway : IEEE Press , 2015 : 1267 - 1270 .

SURAMPUDI A , KALIMUTHU K . An adaptive decision threshold scheme for the matched filter method of spectrum sensing in cognitive radio using artificial neural networks [C ] // India International Conference on Information Processing , August 12 - 14 , 2016 , Delhi, India [S.l.:s.n. ] , 2016 : 1 - 5 .

YANG M , LI Y , LIU X , et al . Cyclostationary feature detection based spectrum sensing algorithm under complicated electromagnetic environment in cognitive radio networks [J ] . China Communications , 2015 , 12 ( 9 ): 35 - 44 .

谭海峰，鲁俊，付璇，等 . 基于小波降噪的压缩感知-循环平稳检测技术 [J ] . 电信科学， 2015 , 31 ( 8 ): 51 - 57 .

TAN H F , LU J , FU X , et al . Cyclostationary feature detection based on compressed sensing and wavelet de-noising [J ] . Telecomunications Science , 2015 , 31 ( 8 ): 51 - 57 .

ZHU J , ZHENG B . Detection probability analysis of cooperative spectrum sensing in rayleigh fading channels [C ] // Eighth IEEE/ACIS International Conference on Computer and Information Science , June 1 - 3 , 2009 , hanghai, China . Piscataway : IEEE Press , 2009 : 177 - 182 .

李映雪，雷静，钟士元，等 . 认知无线网络中基于特征向量的协方差盲检测方法 [J ] . 电信科学， 2015 , 31 ( 11 ): 94 - 98 .

LI Y X , LEI J , ZHONG S Y , et al . Covariance blind detection method based on eigenvector in cognitive radio network [J ] . Telecomunications Science , 2015 , 31 ( 11 ): 94 - 98 .

WIDIANTO M H , SURATMAN F Y , MEYLANI L . Evaluation spectrum sensing in cognitive radio based on signal covariance matrix [Z ] . 2017 .

CHARAN C , PANDEY R . Double threshold based spectrum sensing technique using sample covariance matrix for cognitive radio networks [C ] // 2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA) , Dec 30 - 31 , 2017 , Dubai, United Arab Emirates . Piscataway : IEEE Press , 2017 : 150 - 153 .

ZENG Y , LIANG Y C . Spectrum-sensing algorithms for cognitive radio based on statistical covariances [J ] . IEEE Transactions on Vehicular Technology , 2009 , 58 ( 4 ): 1804 - 1815 .

王云川，许晓荣，姚英彪，等 . 一种能效优先的认知无线电模仿主用户攻击防御策略设计与性能分析 [J ] . 电信科学， 2017 , 33 ( 8 ): 100 - 106 .

WANG Y C , XU X R , YAO Y B , et al . Design and performance analysis of energy efficiency based CR primary user emulation attack defensive scheme [J ] . Telecomunications Science , 2017 , 33 ( 8 ): 100 - 106 .

XU X , BAO J , CAO H , et al . Energy-efficiency-based optimal relay selection scheme with a BER constraint in cooperative cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 1 ): 191 - 203 .

VIEN Q T , NGUYEN H X , TRESTIAN R , et al . A hybrid double-threshold based cooperative spectrum sensing over fading channels [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 3 ): 1821 - 1834 .

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