基于动态自适应双门限能量检测的序贯协作频谱感知算法
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摘要
针对在一般高斯白噪声环境中,传统的双门限能量检测频谱感知算法忽略确定两门限之间的感知信息的问题,该文提出一种基于动态自适应双门限能量检测的序贯协作频谱感知算法。新算法以最优化检测概率为目标,采用序贯方式对协作用户进行动态自适应双门限建模,并对处于两门限之间的接收能量值进行软判决。进一步地,新算法能自适应动态调整门限大小和各判决区域协作用户数,以达到最大化检测概率和最优化受试工作特征曲线的目的。理论分析和仿真结果表明,与经典的双门限能量检测算法相比,提出算法具有更优的检测概率。
In order to overcome the problem of ignoring the sensing information between the two fixed thresholds for double-thresholds energy detection algorithm, the sequential cooperative sensing algorithm based on dynamic adaptive double-threshold energy detection is proposed. Since the soft decision between the two dynamic adaptive double thresholds is used for optimizing the probability of detection, it takes sequential cooperative sensing algorithm to model the adaptive double-threshold regions. Furthermore, the proposed algorithm can adaptively adjust the thresholds values and the number of collaborative users for each decision region to optimize the probability of detection and receiver operating characteristics curve. Simulation results show that the proposed algorithm has better performance for the detection capability, compared with other double thresholds sensing algorithms.
In order to overcome the problem of ignoring the sensing information between the two fixed thresholds for double-thresholds energy detection algorithm, the sequential cooperative sensing algorithm based on dynamic adaptive double-threshold energy detection is proposed. Since the soft decision between the two dynamic adaptive double thresholds is used for optimizing the probability of detection, it takes sequential cooperative sensing algorithm to model the adaptive double-threshold regions. Furthermore, the proposed algorithm can adaptively adjust the thresholds values and the number of collaborative users for each decision region to optimize the probability of detection and receiver operating characteristics curve. Simulation results show that the proposed algorithm has better performance for the detection capability, compared with other double thresholds sensing algorithms.
引文
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[2]GUIDI F,GUERRA A,DARDARI D,et al.Joint energy detection and massive array design for localization and mapping[J].IEEE Transactions on Wireless Communications,2017,16(3):1359-1371.doi:10.1109/TWC.2016.2627032.
[3]ZHANG J,CHEN Z,BLUM R S,et al.Ordering for reduced transmission energy detection in sensor networks testing a shift in the mean of a gaussian graphical model[J].IEEETransactions on Signal Processing,2017,65(8):2178-2189.doi:10.1109/TSP.2017.2655492.
[4]CHATZIANTONIOU E,ALLEN B,VELISAVLJEVIC V,et al.Energy detection based spectrum sensing over two-wave with diffuse power fading channels[J].IEEE Transactions on Vehicular Technology,2017,66(1):868-874.doi:10.1109/TVT.2016.2556084.
[5]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.2007.9148769.
[6]刘玉磊,梁俊,肖楠,等.基于马尔科夫模型的认知无线电动态双门限能量检测策略[J].电子与信息学报,2016,38(10):2590-2597.doi:10.11999/JEIT151400.LIU Yulei,LIANG Jun,XIAO Nan,et al.Dynamic double threshold energy detection based on markov model in cognitive radio[J].Journal of Electronics&Information Technology,2016,38(10):2590-2597.doi:10.11999/JEIT151400.
[7]陈长兴,符辉,牛德智,等.基于双门限能量检测的协作频谱感知算法[J].系统工程与电子技术,2013,35(8):1742-1746.doi:10.3969/j.issn.1001-506X.2013.08.26.CHEN Changxing,FU Hui,NIU Dezhi,et al.Cooperative spectrum sensing algorithm based on double-threshold energy detection[J].Systems Engineering and Electronics,2013,35(8):1742-1746.doi:10.3969/j.issn.1001-506X.2013.08.26.
[8]LIU S Q,HU B J,and WANG X Y.Hierarchical cooperative spectrum sensing based on double thresholds energy detection[J].IEEE Communications Letters,2012,16(7):1096-1099.doi:10.1109/LCOMM.2012.050112.120765.
[9]SRIVASTAVA S K and BANERJEE A.‘n-ratio’logic based cooperative spectrum sensing using double threshold energy detection[C].2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications,Hannover,2009:1-6.doi:10.1109/CROWNCOM.2009.5189162.
[10]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.doi:10.1109/TWC.2015.2496598.
[11]ZHU J,XU Z,WANG F,et al.Double threshold energy detection of cooperative spectrum sensing in cognitive radio[C].2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications,Singapore,2008:1-5.doi:10.1109/CROWNCOM.2008.4562451.
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