计算机科学 ›› 2018, Vol. 45 ›› Issue (9): 166-170.doi: 10.11896/j.issn.1002-137X.2018.09.027
高鹏1, 刘芸江1, 高维廷1, 李曼2, 陈娟3
GAO Peng1, LIU Yun-jiang1, GAO Wei-ting1, LI Man2, CHEN Juan3
摘要: 针对已有的双门限特征值频谱感知算法存在忽略本地感知用户可靠性差异及融合判决方式开销大的缺点,提出了一种基于可信度的双门限DMM协作频谱感知算法(DT-CDMM),用于进一步提升协作感知性能。所提算法在最大最小特征值差(DMM)算法的基础上,建立了基于特征极限分布的双门限DMM算法作为本地感知,采用触发式的软、硬判决相结合的判决机制来减少系统开销,以本地感知性能与可信度加权的方式得到全局判决结果,并对硬判决进行自适应补偿。仿真结果表明,较已有的双门限特征值算法以及双门限能量检测算法,DT-CDMM算法在噪声不确定的环境下提升了多用户协作检测的概率。
中图分类号:
[1]ROBERT C Q,ZHEN H,HUSHENG L,等.认知无线电通信组网:原理与应用[M].郎为民,等译.第一版.北京:机械工业出版社,2013:1-3. [2]PANDIT S,SINGH G.Spectrum Sensing in Cognitive Radio Networks:Potential Challenges and Future Perspective[M]∥Spectrum Sharing in Cognitive Radio Networks.German:Springer International Publishing,2017. [3]SEDIGHI S,TAHERPOUR A,GAZOR S,et al.Eigenvalue-Based Multiple Antenna Spectrum Sensing:Higher Order Moments[J].IEEE Transactions on Wireless Communications,2017,16(2):1168-1184. [4]LIU C,LI H,WANG J,et al.Optimal Eigenvalue Weighting Detection for Multi-Antenna Cognitive Radio Networks[J].IEEE Transactions on Wireless Communications,2017,16(4):2083-2096. [5]ZHANG X J,LU Y,TIAN F,et al.Double-threshold cooperative spectrum sensing for cognitive radio based on trust[J].Acta Physica Sinica,2014,63(7):362-372.(in Chinese) 张学军,鲁友,田峰,等.基于信任度的双门限协作频谱感知算法[J].物理学报,2014,63(7):362-372. [6]JIANG X L.Double threshold collaborative spectrum sensing algorithm based on energy sensing[J].D’d Journal of Heilongjiang University of Science and Technology,2016,26(1):75-79.(in Chinese) 江晓林.基于能量检测的双门限协作频谱感知算法[J].黑龙江科技大学学报,2016,26(1):75-79. [7]LI M Y,LI O,SUN W J.Double-threshold Cooperative Spectrum Sensing Algorithm Based on Noise Uncertainty[J].Computer Engineering,2014,40(4):81-86. (in Chinese) 李明源,李鸥,孙武剑.基于噪声不确定性的双门限协作频谱感知算法[J].计算机工程,2014,40(4):81-86. [8]ZENG Y H,LIANG Y C.Maximum Minimum eigenvalue detection for cognitive radio[C]∥The 18th Annual IEEE Internatio-nal Symposium on Personal,Indoor and Mobile Radio Communications.Athens,Greece,2007:1-5. [9]WANG Y X,LU G Y.DMM Based Spectrum Sensing Method for Cognitive Radio Systems[J]. D’d Journal of Electronics & Information Technology,2010,32(11):2572-2574.(in Chinese) 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. [10]TSINOS C G,BERBERIDIS K.Decentralized Adaptive Eigen-value-Based Spectrum Sensing for Multiantenna Cognitive Radio Systems[J].IEEE Transactions on Wireless Communications,2013,14(3):1703-1715. [11]LI Z,WANG D,QI P,et al.Maximum-Eigenvalue-Based Sen-sing and Power Recognition for Multiantenna Cognitive Radio System[J].IEEE Transactions on Vehicular Technology,2016,65(10):8218-8229. [12]ZOU W X,DING Q,ZHOU Z,et al.Double threshold spectrum sensing algorithm based on limiting eigenvalue distribution[J]. Systems Engineering and Electronics,2012,34(3):588-591.(in Chinese) 邹卫霞,丁奇,周正,等.基于特征值极限分布的双门限频谱感知算法[J].系统工程与电子技术,2012,34(3):588-591. [13]HAREESH K,SINGH P.An energy efficient hybrid co-operative spectrum sensing technique for CRSN[C]∥International Multi-Conference on Automation,Computing,Communication,Control and Compressed Sensing.IEEE,2013:438-442. [14]PENG Y,CUI Z R.CHEN C K.Selectively Triggered Cooperative Specturm Sensing in Wireless Cognitive Network[J].Computer Engineering,2017,43(3):89-93.(in Chinese) 彭艺,崔自如,陈昌凯.无线认知网络中的选择触发协作频谱感知[J].计算机工程,2017,43(3):89-93. |
[1] | 宋昱, 孙文赟. 改进非线性结构张量的含噪图像边缘检测 Edge Detection in Images Corrupted with Noise Based on Improved Nonlinear Structure Tensor 计算机科学, 2021, 48(6): 138-144. https://doi.org/10.11896/jsjkx.200600017 |
[2] | 崔建群, 黄东升, 常亚楠, 吴淑庆. DTN中基于消息质量度和节点可信度的拥塞控制 Congestion Control Based on Message Quality and Node Reliability in DTN 计算机科学, 2021, 48(4): 268-273. https://doi.org/10.11896/jsjkx.200500011 |
[3] | 高庆吉, 王闻博, 侯世昊, 邢志伟. 基于可拓路径的密集人群环境通行策略 Traffic Strategy in Dense Crowd Environments Based on Expandable Path 计算机科学, 2020, 47(6A): 34-39. https://doi.org/10.11896/JsJkx.191100191 |
[4] | 郭聪蕊, 王珺, 封一鸣. 系统仿真可信度评估方法研究 Research on Method of Credibility Evaluation of System Simulation 计算机科学, 2020, 47(6A): 567-571. https://doi.org/10.11896/JsJkx.190700201 |
[5] | 张赟,李培峰,朱巧明. 基于门控卷积网络的篇章级事件可信度识别方法 Document-level Event Factuality Identification Method with Gated Convolution Networks 计算机科学, 2020, 47(3): 206-210. https://doi.org/10.11896/jsjkx.190200265 |
[6] | 杨小军, 徐忠富, 张星, 孙丹辉. 仿真模型可信度评估研究综述及难点分析 Overview and Difficulties Analysis on Credibility Assessment of Simulation Models 计算机科学, 2019, 46(6A): 23-29. |
[7] | 李梦潇, 姚仕元. 基于PCA的人脸识别系统的设计与改进 Design and Improvement of Face Recognition System Based on PCA 计算机科学, 2019, 46(6A): 577-579. |
[8] | 郑宏亮, 侯雪辉, 宋笑迎, 庞阔, 邹丽. 基于犹豫模糊可信度的知识推理 Approach for Knowledge Reasoning Based on Hesitate Fuzzy Credibility 计算机科学, 2019, 46(1): 131-137. https://doi.org/10.11896/j.issn.1002-137X.2019.01.020 |
[9] | 徐少平,曾小霞,姜尹楠,林官喜,唐祎玲. 基于最小特征值非线性修正的快速噪声水平估计算法 Fast Noise Level Estimation Algorithm Based on Nonlinear Rectification of Smallest Eigenvalue 计算机科学, 2018, 45(7): 219-225. https://doi.org/10.11896/j.issn.1002-137X.2018.07.038 |
[10] | 闫红. 基于区间可信度下界的多目标优化算法研究及应用 Research and Application of Multi-objective Optimization Algorithm Based on Interval Reliability Lower Bound 计算机科学, 2017, 44(Z11): 577-579. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.123 |
[11] | 印新棋,吴军,莫伟伟,白光伟. WMNs中基于节点可信度的机会路由改进算法 Improved Opportunistic Routing Algorithm Based on Node Trustworthiness for WMNs 计算机科学, 2017, 44(8): 151-156. https://doi.org/10.11896/j.issn.1002-137X.2017.08.027 |
[12] | 齐全,王可人,杜奕航. 基于信誉机制的认知Ad hoc网络分簇协作频谱感知 Cooperative Spectrum Sensing Based on Reputation Mechanism in Cognitive Ad hoc Networks 计算机科学, 2017, 44(10): 103-108. https://doi.org/10.11896/j.issn.1002-137X.2017.10.020 |
[13] | 潘铭星,孙涵. 一种快速有效的机载目标识别算法 Fast and Efficient Algorithm for Airborne Target Recognition 计算机科学, 2014, 41(Z6): 150-152. |
[14] | 杨柳,殷钊,滕建斌,王衡,汪国平. 改进贝叶斯分类的智能短信分类方法 Intelligent SMS Classification Method Based on Improved Bayes Classification Algorithm 计算机科学, 2014, 41(10): 31-35. https://doi.org/10.11896/j.issn.1002-137X.2014.10.007 |
[15] | 曹龙,赵杭生,鲍丽娜,赵小龙. 协作频谱感知及SSDF攻击研究 Research on Cooperative Spectrum Sensing and SSDF Attacks 计算机科学, 2013, 40(Z6): 307-310. |
|