物理学

新型协作频谱感知系统检测性能优化策略

  • 曾英 ,
  • 李志勇 ,
  • 张春平 ,
  • 唐菁敏
展开
  • 1.  湖南城市学院 通信与电子工程学院,湖南 益阳413000; 
    2. 湖南大学 信息科学与工程学院, 长沙410082; 
    3. 昆明理工大学 信息工程与自动化学院,昆明650051
曾英,女,讲师,主要研究方向为无线传感器网络、视频追踪等

收稿日期: 2015-05-15

  网络出版日期: 2016-09-22

基金资助

湖南省教育厅一般项目(14C0215);
益阳市科技局项目(2013JZ37); 
2014年湖南城市学院虚拟仿真实验教学资源建设项目(3)

Performance optimization scheme for a novel cooperation spectrum sensing system

  • ZENG Ying ,
  • LI Zhi-Yong ,
  • ZHANG Chun-Ping ,
  • TANG Jing-Min-
Expand

Received date: 2015-05-15

  Online published: 2016-09-22

摘要

为了减小隐蔽终端对感知系统性能的影响和降低感知系统的错误率,提出方法:在考虑无线信道为瑞利信道和报道信道带有一定错误率的条件下,对带有p次方检测器的协作频谱感知系统,联合优化p次方检测器的次方数p和感知门限λ,并研究优化协作用户数K,使系统总错误率最小. 理论分析与仿真结果表明,在给定初始条件下,协作频谱感知系统存在最佳指数p*和最佳感知门限λ,同时在选择融合准则后,可以适当选择协作用户数K以提高感知系统可靠性. 

本文引用格式

曾英 , 李志勇 , 张春平 , 唐菁敏 . 新型协作频谱感知系统检测性能优化策略[J]. 华东师范大学学报(自然科学版), 2016 , 2016(3) : 84 -91 . DOI: 10.3969/j.issn.1000-5641.2016.03.010

Abstract

In order to reduce effect of hidden terminal on cognitive system performance and the error rate of perceived system, it is proposed that, under the condition of considering wireless Rayleigh fading channel and reported channel with a fixed error probability, joint optimize index p of p power detector, optimal sensing threshold λand the best number of cooperative users K on multiple antenna sensing system with p power detector to minimize the total error probability. Theoretical analysis and simulation results show that cooperative spectrum sensing system has the best index p* and the best perception threshold λ*, and when choosing a fusion rule it can improve the reliability for sensing system by choosing appropriate cooperative users K.

参考文献

[1]SINGH A, BHATNAGAR M R, MALLIK R K. Cooperative spectrum sensing in multiple antenna based cognitive radio network using an improved energy detector[J]. Communications Letters, IEEE,2012 ,16(1): 6467.

[2]CHEN Y F. Improved energy detector for random signals in gaussian noise[J]. IEEE Transactions on Wireless Communications,  2010, 9(2): 558563.

[3]ZENG Y H, LIANG Y C, ZHENG S K, et al. Optimal cooperative sensing and its robustness to decoding errors \[C\]//Proceedings of the 2011 IEEE International Conference on  Communications (ICC). IEEE, 2011: 15.

[4]DIGHAM F F, ALOUINI M S, SIMON M K. On the energy detection of unknown signals over fading channels \[J\] .  IEEE Transactions on Communications, 2003 , 5(5): 35753579[5]朱军龙, 邵玉斌, 李静叶,等. 认知无线电中合作频谱感知的性能优化[C]//2009年研究生学术交流会通信与信息技术论文集. 北京: 中国学术期刊电子工程出版社,2009: 414417.

[6]TANG J M, ZHANG C P, CAO J S. Performance optimization scheme for cooperation spectrum sensing system[J]. Journal of Information and Computational Science, 2014: 20392048.

[7]张松林, 张昆. 连续随机变量非线性函数的期望和方差的近似求法[J]. 大地测量与地球动力学,2008, 28(4): 107110.

[8]徐利治, 邓永录, 史树中,等.数学辞海:第四卷[M]. 北京: 中国科学出版社, 2002: 326336.

[9]赵树杰, 赵建勋. 信号检测与估计理论:第二版[M]. 北京: 清华大学出版社, 2005: 4524851.

[10]ElSALEH A A, ISMAIL M, ALI M A M. Optimizing spectrum sensing parameters for local and cooperative cognitive radios[C]//Proceedings of the 11th Internationl Conference on Advanced Communication Technology. 2009(3): 18101815.

[11]CHAIR Z, VARSHNEY  P K.  Optimal data fusion in multiple sensor detection systems[J].IEEE Transactions on Aerospace and Electronic Systems, 1986, 22(1): 98101. 

[12]ZHANG W, MALLIK R K, LETAIEF K B. Cooperative spectrum sensing optimization in cognitive radio networks[C]//Proceedings of the IEEE International Conference on Communications. 2008: 34113415.

[13]张春平, 曹金石, 唐菁敏,等. p次方检测器的协作频谱感知系统性能优化[J]. 云南大学学报, 2014, 36(1): 2631.
文章导航

/