吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1506-1511.doi: 10.7964/jdxbgxb201405044

Previous Articles     Next Articles

Exponential entropy-based spectrum sensing algorithm in cognitive radio

LI Yi-bing,CHANG Guo-bin,YE Fang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001
  • Received:2013-04-03 Online:2014-09-01 Published:2014-09-01

RICH HTML

0   

PDF (PC)

613

Abstract: Current spectrum sensing methods in cognitive radio possess several shortcomings, such as poor detection performance in low Signal-to-Noise Ratio (SNR) simulation and poor robustness to the uncertainty of noise power, etc. To overcome these shortcomings, an exponential entropy-based spectrum sensing algorithm is proposed. According to the difference of exponential entropy between the situation of H0 and H1, the value of the exponential entropy of the received signal is estimated, and then compared with the threshold to judge whether the primary user's signal exists or not. The algorithm has the advantages of robustness to uncertainty of noise power, no requirement of prior information of the primary user's signal, and high detection probability in low SNR, etc. Monte Carlo simulation results show that under the situation of noise power uncertainty of 3 dB, sampling number of 1024, the detection probability can reach 100% when SNR is higher than -8 dB.

Key words: communication technology, spectrum sensing, exponential entropy, robustness

CLC Number: 

  • TN92
[1] FCC. reporting of the spectrum efficiency working group[R/OL].[2012-11-05]. Spectrum Policy Task Force, 2002. http:www.fcc.gov/sptf/reports/html.
[2] Fu S, Li Y B, Ye F. spectrum sensing technology defending against SNR attack based on geographic location information[J]. Journal of Information and Computational Science, 2012,9(13):3721-3729.
[3] Mchenry M. Report on spectrum occupancy measurements[R]. Shared Spectrum Company Report,Virginia,2005.
[4] Mitola J, Maguire G Q. Cognitive radio: aking software radios more personal[J]. IEEE Personal Communications,1999, 6 (4):13-18.
[5] Haykin S. Cognitive radio: brain-empowered wireless communications[J]. IEEE Sel Areas Commun,2005, 23:201-220.
[6] 李文生, 李一兵. 一种认知无线电频谱检测新算法[J]. 应用科技,2011,38(1):49-52.Li Wen-sheng, Li Yi-bing. A new algorithm for spectrum detection in cognitive radio system[J]. Applied Science and Technology,2011,38(1):49-52.
[7] 赵春晖,腾志军,马爽.基于广义功率谱密度的分布压缩宽带频谱感知[J].吉林大学学报:工学版, 2012,42(4):1015-1020.Zhao Chun-hui, Teng Zhi-jun, Ma Shuang. Distributed compressive wideband spectrum sensing based on generalized power density[J]. Journal of Jilin University(Engineering and Technology Edition),2012,42(4):1015-1020.
[8] Zhang Ya-lin, Zhang Qin-yu,Melodia Tommaso. A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks[J]. Communications Letters, IEEE, 2010, 14:533-535.
[9] Zhang Ya-lin, Zhang Qin-yu,Wu Shao-hua. Entropy-based robust spectrum sensing in cognitive radio[J].Communications,IET,2010,4(4):428-436.
[10] Sabat Samrat L, Srinu S, Raveendranadh A, et al. Spectrum sensing based on entropy estimation using cyclostationary features for Cognitive radio[C]∥Communication Systems and Networks. 2012 Fourth International Conference on, Bangalore,2012:1-6.
[11] 潘喆, 吴一全. 二维指数熵图像阈值选取方法及其快速算法[J].计算机应用,2007,27(4): 982-985.Pan Zhe, Wu Yi-quan. Method of thresholding using two-dimensional exponential entropy and its fast algorithm[J]. Computer Applications, 2007, 27(4): 982-985.
[1] ZHOU Yan-guo,ZHANG Hai-lin,CHEN Rui-rui,ZHOU Tao. Two-level game approach based resource allocation scheme in cooperative networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1879-1886.
[2] SUN Xiao-ying, HU Ze-zheng, YANG Jin-peng. Assessment method of electromagnetic pulse sensitivity of vehicle engine system based on hierarchical Bayesian networks [J]. 吉林大学学报(工学版), 2018, 48(4): 1254-1264.
[3] DONG Ying, CUI Meng-yao, WU Hao, WANG Yu-hou. Clustering wireless rechargeable sensor networks charging schedule based on energy prediction [J]. 吉林大学学报(工学版), 2018, 48(4): 1265-1273.
[4] MOU Zong-lei, SONG Ping, ZHAI Ya-yu, CHEN Xiao-xiao. High accuracy measurement method for synchronous triggering pulse transmission delay in distributed test system [J]. 吉林大学学报(工学版), 2018, 48(4): 1274-1281.
[5] DING Ning, CHANG Yu-chun, ZHAO Jian-bo, WANG Chao, YANG Xiao-tian. High-speed CMOS image sensor data acquisition system based on USB 3.0 [J]. 吉林大学学报(工学版), 2018, 48(4): 1298-1304.
[6] CHEN Rui-rui, ZHANG Hai-lin. Performance analysis of 3D millimeter wave communications [J]. 吉林大学学报(工学版), 2018, 48(2): 605-609.
[7] ZHANG Chao-yi, LI Jin-hai, YAN Yue-peng. Improved Tong detection algorithm with double thresholds [J]. 吉林大学学报(工学版), 2018, 48(2): 610-617.
[8] GUAN Ji-shi, SHI Yao-wu, QIU Jian-wen, SHAN Ze-biao, SHI Hong-wei. New algorithm to estimate characteristic exponent of α-stable distribution [J]. 吉林大学学报(工学版), 2018, 48(2): 618-624.
[9] LI Wei, LI Ya-jie. Satisfactory integrated design between failure accommodation and communication for non-uniform transmission networked control system under discrete event-triggered communication scheme [J]. 吉林大学学报(工学版), 2018, 48(1): 245-258.
[10] SUN Xiao-ying, WANG Zhen, YANG Jin-peng, HU Ze-zheng, CHEN Jian. Electromagnetic susceptibility assessment of electronic throttle based on Bayesian network [J]. 吉林大学学报(工学版), 2018, 48(1): 281-289.
[11] WU Wei, WANG Shi-gang, ZHAO Yan, WEI Jian, ZHONG Cheng. Hexagonal elemental image array generation [J]. 吉林大学学报(工学版), 2018, 48(1): 290-294.
[12] YUAN Jian-guo, ZHANG Xi-ruo, QIU Piao-yu, WANG Yong, PANG Yu, LIN Jin-zhao. Non-iterative phase noise suppression algorithm utilizing cyclic prefix in OFDM systems [J]. 吉林大学学报(工学版), 2018, 48(1): 295-300.
[13] WANG Jin-peng, CAO Fan, HE Xiao-yang, ZOU Nian-yu. Multi carrier system joint receiving method based on MAI and ICI [J]. 吉林大学学报(工学版), 2018, 48(1): 301-305.
[14] SHI Wen-xiao, SUN Hao-ran, WANG Shao-bo. Joint channel allocation and routing algorithm in wireless mesh network [J]. 吉林大学学报(工学版), 2017, 47(6): 1918-1925.
[15] JIANG Lai-wei, SHA Xue-jun, WU Xuan-li, ZHANG Nai-tong. Novel joint user association and resource allocation method in LTE-A HetNets [J]. 吉林大学学报(工学版), 2017, 47(6): 1926-1932.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd