摘要
根据新阶段提出的多机协同空战的作战体系,结合实际应用情况,提出了一种双机协作的频谱感知算法。该算法主要通过调整门限,达到增强检测性能,及时发现频谱空穴的目的。进行了仿真分析,仿真结果验证了该算法的优越性。
出处
《四川兵工学报》
CAS
2012年第2期114-116,共3页
Journal of Sichuan Ordnance
二级参考文献13
-
1HAYKIN S. Cognitive radio: brain-empowered wireless communications[J]. IEEE JSAC, 2005,23(2):201-220.
-
2GHASEMI A, SOUSA E S. Collaborative spectrum sensing for opportunistic access in fading environments[J].In Proc. IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Access Networks, 2005 : 131-136.
-
3GANESAN G, LI Y. Cooperative spectrum sensing in cognitive radio, Part I: two user networks[J].IEEE Trans. Commun, 2007,6(6):2204-2213.
-
4MA J, LI Y. Soft combination and detection for cooperative spectrum sensing in cognitive radio[J]. Networks Global Telecommunications Conference, 2007: 3139- 3143.
-
5QUAN Zhi, CUI Shu Guang, SAYED A H. Optimal linear cooperation for spectrum sensing in cognitive radio networks[J]. IEEE J. Select. Areas Commun, 2008,2(1): 28-40.
-
6GHASEMI A, SOUSA E S. Sousa. Spectrum sensing in cognitive radio networks: the Cooperation-processing tradeoff[J]. Wirel. Commun. Mob. Comput. 2007,7(9):1049 - 1060.
-
7Mitola J. Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio [ D ]. Sweden : Royal Institute of Technology ( KTH), 2000.
-
8Wei Wang, Xin Liu. List-Coloring Based Channel Allocation for Open - Spectrum Wireless Networks [ C ]// Proc Of IEEE VTC. [ S. l. ]: [ s. n. ] ,2005:690 - 694.
-
9Zheng Haitao, Peng Chunyi. Collaboration and fairness in opportunistic spectrum access [ C ]//Proc IEEE ICC. [S. l. ] :[s. n. ] ,2005:3132-3136.
-
10CAO Lili, Zheng Haitao. Spectrum allocation in ad hoc networks via local bargaining [ C ]//IEEE SECON. Santa Clara,CA: [ s. n. ] ,2005:475 -486.
同被引文献18
-
1Bruce A F. Cognitive Radio Technology [ M ]. San Diego, USA: Elsevier Inc. , 2006 : 118-122.
-
2郭庆丰,崔贤良.空军电子对抗作战中频谱管理初探[J].空军工程大学学报(军事科学版),2005,5(4):33-34.
-
3Axell E, Leus G, Larsson E G. Overview of spectrum sens- ing for cognitive radio [ C ]//Proceedings of 2010 2nd In- ternational Workshop on Cognitive Information Processing (CIP). Elba: IEEE ,2010.322-327.
-
4Axell 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.
-
5Kay S M. Fundamentals of statistical signal processing ( Vol. II : Detection Theory) [ M ]. Upper Saddle River, NJ : Prentice Hall, 1998 : 113-117.
-
6Danev D, Axell E, Larsson E G. Spectrum sensing meth- ods for detection of DVB-T signals in AWGN and fading channels [ C ]//Proceedings of 2010 IEEE 21st Interna- tional Symposium on Personal Indoor and Mobile Radio Communications ( PIMRC ). Istanbul, Turkey : IEEE, 2010 : 2721-2726.
-
7Axell E, Larsson E G. Optimal and near-optimal spectrum sensing of OFDM signals in AWGN channels [ C ]// Pro- ceedings of 2010 2nd International Workshop on Cognitive Information Processing ( CIP ). Elba Island, Italy : IEEE, 2010:128-133.
-
8Axell E, Larsson E G. Optimal and sub-optimal spectrum sensing of OFDM signals in known and unknown noise va- riance [ J ]. IEEE Journal on Selected Areas in Communi- cations ,2011,29 (2) :290-304.
-
9Sun C,Zhang W, Ben K. Cluster-based cooperative spec- trum sensing in cognitive radio systems [ C ]/! Proceed- ings of 2007 IEEE International Conference on Communi- cations. Glasgow, Scotland: IEEE,2007:2511-2515.
-
10Rawat A S, Anand P, Chen H, et al. Collaborative spec- trum sensing in the presence of Byzantine attacks in cog- nitive radio networks [ J ]. IEEE Transactions on Signal Processing, 2011,59 (2) : 774-786.
引证文献3
-
1邴雨晨,刘红,杨建波,刘璘.一种空中联合作战频谱感知方法[J].电讯技术,2014,54(10):1372-1377. 被引量:1
-
2张宏伟,达新宇,胡航,倪磊,潘钰,王浩波.认知无人机网络中多机协作频谱感知研究[J].空军工程大学学报(自然科学版),2020,21(1):92-98. 被引量:3
-
3张曾,邓小芳.基于信噪比估计的无人机频谱感知算法[J].现代电子技术,2020,43(10):119-123. 被引量:3
二级引证文献7
-
1张曾,邓小芳.基于信噪比估计的无人机频谱感知算法[J].现代电子技术,2020,43(10):119-123. 被引量:3
-
2范圆梦,刘顺兰.加权随机共振多路检测的无人机频谱感知算法[J].杭州电子科技大学学报(自然科学版),2021,41(3):6-11. 被引量:1
-
3胡晓月,杨淼,康凯,张舜卿.基于认知无线电的GEO与LEO卫星频谱共存[J].中国空间科学技术,2021,41(3):39-45. 被引量:4
-
4赵林,张宇飞,姚明旿,郭彦涛.无人机集群协同技术发展与展望[J].无线电工程,2021,51(8):823-828. 被引量:21
-
5陈月,张希,艾文宝.基于残差神经网络的频谱感知算法[J].现代电子技术,2022,45(7):1-5. 被引量:2
-
6杨林超.无人机测控系统中干扰感知与频谱资源管理技术[J].电讯技术,2023,63(2):187-192. 被引量:5
-
7唐晓倩,宋哲,张怡,盘晴,张文洁.基于能量和循环平稳检测的双门限两层感知算法[J].电子设计工程,2023,31(20):68-72.
-
1高翔,方洋旺,董凤珍,杨鹏飞,曹中红.双机协作无源定位测角精度计算[J].空军工程大学学报(自然科学版),2012,13(5):5-9. 被引量:2
-
2季华益,唐莽,王琦.基于大数据、云计算的信息对抗作战体系发展思考[J].航天电子对抗,2015,31(6):1-4. 被引量:6
-
3万晓援,童天爵.美军电子战体系探讨[J].外军电子战,2004,0(2):1-5.
-
4陈健,王永明,赵革,王春虎.舰船目标特性研究综述[J].舰船电子工程,2008,28(5):17-21. 被引量:10
-
5薛杰,吕伟康.德国联邦国防军侦察系统[J].国外坦克,2014(1):52-55.
-
6陈国海.下一代预警机雷达技术[J].现代雷达,2010,32(3):1-4. 被引量:27
-
7军队系统视频通信解决方案[J].中国多媒体通信,2007(4):86-87.
-
8尤晓峰.解析台湾情报作战力量[J].海事大观,2007(11):77-79.
-
9美国电子战专家谈电子战和信息战[J].航天电子对抗,2000,0(2):5-5.
-
10陶克飚,王宇光.可重构微波射频前端技术研究[J].通信对抗,2009(2):57-60. 被引量:4