一种基于能量检测的协作式频谱感知算法

doi:10.11959/j.issn.1000-0801.2016232

摘要/Abstract

摘要：

为提高认知无线电系统中频谱检测的可靠性，提出了一种基于能量检测的协作式频谱感知算法。利用授权用户的状态在相邻感知帧之间变化的概率小这一特性，通过将当前感知帧的能量值与相邻值相结合来判断授权用户状态，这样当授权用户使用授权频段时，所提算法能有效减小采样信号能量值骤减时发生误判的概率。另外给出了所提算法检测概率和虚警概率的闭式表达式。理论分析和仿真结果表明，所提算法比传统的协作式频谱检测算法检测性能好。

关键词: 协作频谱感知, 检测概率, 认知用户, 授权用户

Abstract:

To improve the reliability of spectrum sensing in cognitive radio system,a new cooperation spectrum sensing algorithm was proposed.In this algorithm,the property of the low probability between adjacent frames of the states change was used and then the decision was made by combing the energy value of the current sensing frame with that of the neighboring frame.Therefore,the proposed algorithm could decrease the miss detection probability in case of the instantaneous signal energy dropping when primary user used the licensed spectrum.Furthermore,theoretical expressions for detection probability and false alarm probability were derived.Finally,theoretical analysis and simulation results verify that the detection performance of the proposed algorithm is better than that of cooperative spectrum sensing which is based on the classical energy detection.

Key words: cooperativespectrumsensing, detectionprobability, secondaryuser, primaryuser

付彩梅,李有明,周桂莉,余明宸,童景文,王旭芃. 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.

Caimei FU,Youming LI,Guili ZHOU,Mingchen YU,Jingwen TONG,Xupeng WANG. A new cooperation spectrum sensing algorithm based on energy detection[J]. Telecommunications Science, 2016, 32(9): 52-60.

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参考文献 16

[1]	FILI N S , HARADA H , MURAKAMI H ,et al. International standardization of cognitive radio systems[J]. IEEE Communications Magazine, 2011,49(3): 82-89.
[2]	AXELL E , LEUS G , LARSSON E G ,et al. Spectrum sensing for cognitive radio:state-of-the-art and recent advances[J]. IEEE Signal Processing Magazine, 2012,29(3): 101-116.
[3]	LIU Y , ZHONG Z , WANG G ,et al. Cyclostationary detection based spectrum sensing for cognitive radio networks[J]. Journal of Communications, 2015,10(1): 74-79.
[4]	MA J , LI Y . Soft combination and detection for cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2007,7(11): 4502-4507.
[5]	HAMZA D , AISSA S , ANIBA G . Equal gain combining for cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2014,13(8): 4334-4345.
[6]	XU S , SHANG Y , WANG H . Double thresholds based cooperative spectrum sensing against untrusted secondary users in cognitive radio networks[C]// Vehicular Technology Conference(VTC),July 3-7,2009,Barcelona,Spain. New Jersey:IEEE Press, 2009: 1-5.
[7]	RABIEE R , LI K H . Throughput optimization of double-threshold based improved energy detection in cooperative sensing over imperfect reporting channels[C]// Information,Communications and Signal Processing (ICICS),March 3-5,Tainan,Taiwan,China. New Jersey:IEEE Press, 2013: 1-5.
[8]	LIU S Q , HU B J , WANG X Y . Hierarchical cooperative spectrum sensing based on double thresholds energy detection[J]. IEEE Communications Letters, 2012,16(7): 1096-1099.
[9]	李闯 . 一种基于双门限能量检测的协作频谱感知优化算法[D]. 长春:吉林大学, 2015. LI C . An optimized cooperative spectrum sensing technology algorithm based on double-threshold energy detection[D]. Changchun:Jilin University, 2015.
[10]	BANJADE V R S , TELLAMBURA C , JIANG H . Spectrum sensing performance of p-norm detector in random network interference[J]. IEEE Transactions on Vehicular Technology, 2015: 7474-7479.
[11]	张春平 . 基于P次方检测器协作式频谱感知系统性能研究[D]. 昆明:昆明理工大学, 2014. ZHANG C P . Performance of collaborative spectrum sensing system based on P norm detector[D]. Kunming:Kunming University of Science and Technology, 2014.
[12]	LóPEZ-BENIíTEZ M , CASADEVALL F . Improved energy detection spectrum sensing for cognitive radio[J]. IET Communications, 2012,6(6): 785-796.
[13]	董彩萍 . 认知无线电中协作频谱感知技术[D]. 成都:电子科技大学, 2012. DONG C P . Collaborative spectrum sensing technologies in cognitive radio[D]. Chengdu:University of Electronic Science and Technology of China, 2012.
[14]	ZHANG W , MALLIK R K , LETAIEF K B . Cooperative spectrum sensing optimization in cognitive radio networks[C]// International Conference on Communications(ICC),January 3-7.2008,Beijing,China. New Jersey:IEEE Press, 2008: 3411-3415.
[15]	罗曼 . 认知无线电协作频谱感知技术的研究[D]. 哈尔滨;哈尔滨工业大学, 2015. LUO M . Research of collaborative spectrum sensing in cognitive radio[D]. Harbin:Harbin Institute of Technology, 2015.
[16]	王晓东, 卜智勇, 陈允峰 . 复合衰落信道的衰落统计分析[J]. 电子与信息学报, 2008,30(3): 643-647. WANG X D , BU Z Y , CHEN Y F . Fade statistics in composite fading channels[J]. Journal of Electronics ＆Information Technology, 2008,30(3): 643-647.

	条件			信噪比/dB
	条件		-13	-10	-8
实验值		检测概率	0.532 4	0.935 3	0.998 2
		虚警概率	0.104 4	0.106 3	0.108 9
修正前		检测概率	0.579 0(8.75%)	0.962 6(2.92%)	0.999 4(0.12%)
		虚警概率	0.101 4(2.87%)	0.100 7(5.27%)	0.101 1(7.16%)
修正后		检测概率	0.567 3(6.55%)	0.955 1(2.12%)	0.998 3(0.001%)
		虚警概率	0.101 6(2.68%)	0.101 1(4.89%)	0.101 6(6.70%)

典型信道种类	Nakagami对数正态分布	Rayleigh对数正态分布	Ricean对数正态分布
形状因子	0.7	1	1.3
阴影衰落标准偏差/dB	6	6	6
区域均值/dB	0	0	0
小尺度衰落部分均值	1	1	1