期刊文献+

空天地一体化网络中智能协同抗干扰技术 被引量:14

Intelligent Cooperative Anti-Jamming Technology in Space-Air-Ground Integrated Networks
下载PDF
导出
摘要 空天地一体化网络是信息时代指挥与控制的神经网络,是信息获取、传输、处理的平台,空天地一体化网络内部自干扰和外部恶意干扰会阻挡和破坏通信链路,进而影响联合指挥与控制,给出了对抗场景下空天地一体化网络架构,分析了协同抗干扰技术研究现状,从网络拓扑动态控制、通信资源智能优化、通信控制联合优化3个方面讨论了智能协同抗干扰关键技术,探讨了发展趋势与相应挑战. The space-air-ground integrated network(SAGIN) is a neural network for command and control in the information age and also is the platform of information gathering, transmitting and processing. The self-interference and external malicious interference in SAGINs can block and destroy communication links, thereby affecting command and control. This paper gives the network architecture in the countermeasure scenario, and analyzes the existing researches of cooperative anti-jamming methods. Then, three key technologies are presented to address communication interference: dynamic control of network topology, intelligent optimization of communication resources, as well as joint optimization of communication and control technologies. Finally, future directions and challenges are discussed.
作者 王海超 王金龙 丁国如 陈瑾 WANG Hai-Chao;WANG Jin-Long;DING Guo-Ru;CHEN Jin(College of Communications Engineering,Army Engineering University,Nanjing Jiangsu 210007,China)
出处 《指挥与控制学报》 2020年第3期185-191,共7页 Journal of Command and Control
基金 科技创新2030-“新一代人工智能”重大项目(2018AAA0102303) 国家自然科学基金(61871398,61931011,62001514) 江苏省自然科学基金(BK20190030)资助。
关键词 空天地一体化网络 协同抗干扰 网络拓扑控制 群体智能优化 space-air-ground integrated networks cooperative anti-jamming network topology control swarm intelligence optimization
  • 相关文献

参考文献14

二级参考文献125

  • 1朱立华,王汝传.卫星路由算法研究[J].微机发展,2004,14(11):7-9. 被引量:11
  • 2范伟,翟传润,战兴群.基于MATLAB的扩频通信系统仿真研究[J].微计算机信息,2006,22(07S):242-244. 被引量:34
  • 3郭彩丽,张天魁,曾志民,冯春燕.认知无线电关键技术及应用的研究现状[J].电信科学,2006,22(8):50-55. 被引量:33
  • 4ZENG Y H, LIANG Y C. Eigenvalue-Based Spectrum Sensing Algorithms for Cognitive Radio [ J ]. IEEE Trans. Veh. Technol. ,2009,57(6) :1784 - 1793.
  • 5ZENG Y H,LIANG Y C. Spectrum-sensing algorithms for cognitive radio based on statistical covariances [J]. IEEE Trans. Veh. Technol. ,2009,58 ( 4 ) : 1804 - 1815.
  • 6PERTTI HENTTU, SAMI AROMAA. Consecutive Mean Excision Algorithm [ C]//IEEE 7 Int Symp. on Spread- Spectrum Tech& Appl. Prague, Sept. 2- 5. 2002:51 - 517.
  • 7吕再兴 程郁凡.基于频域的盲干扰检测算法研究.现代军事通信,2011,:15-15.
  • 8VARTIAINEN J,LEHTOMAKI J J,SAARNISAARI H. Doubule-Threshold Based Narrowband Signal Extraction [ C]// Vehicular Technology Conference, 2005 IEEE 61st,2:1288 - 1292.
  • 9ROBERTS M L, TEMPLE M A, RAINES R A, et al. Communication waveform design using an adaptive spectrally modulated, spectrally encoded ( SMSE ) framework [ J ]. IEEE Journal of Selected Topics in Signal Processing,2007,1 ( 1 ) :203 - 213.
  • 10DILLARD G M,REUTER M,ZEIDLER J,et al. Cyclie Code Shift Keying:A Low Probability of Intercept Communication Technique [J]. IEEE Transactions on Aerospace and Electronic Systems,2003,39(3):786 -798.

共引文献214

同被引文献111

引证文献14

二级引证文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部