期刊文献+

基于认知云的无人机群组信息对抗系统 被引量:1

UAV cluster information countermeasure system based on cognitive cloud
下载PDF
导出
摘要 基于认知云的无人机群组信息对抗系统由长航时、低成本的电子战无人机群组和云计算网络构成。侦察无人机负责有限范围内的信息侦收,云计算网络融合无人机群感知结果,生成广域信息态势,动态制定系统层对抗策略,调度攻击无人机实施电磁频谱压制或信息接入攻击,同时评估对抗效能,实现信息攻防闭环。无人机群组抵近工作,可显著降低载荷设计复杂度,实现小型化、低功耗与有效性的统一设计。 The Cognitive-cloud information countermeasure system consists of a swarm of long-endurance, low-cost electronic warfare (EW) Unmanned Aerial Vehicles (UAVs) and a cloud computing network. The electronic support (ES) UAVs are expected to eollect the information on threat emitters in a timely manner. The cloud eomputing network fuses the sensing results, generates tactical pictures indicating the battlefield situation, plans the information operation strategy autonomously, and directs the electronic attack (EA) UAVs to fulfill the jamming or information access spoofing missions. Finally, the cloud computing network evaluates effectiveness of the countermeasure according to the information collected by the ES UAVs, thus closes the observe-orient-decide-act (OODA) loop. Stand-in operation may ease the UAV payload complexity to a certain extent, which in turn, leads to the more efficient, low power and miniaturized design.
出处 《航天电子对抗》 2016年第5期5-7,32,共4页 Aerospace Electronic Warfare
关键词 认知 云计算 信息对抗 无人机 协同 cognition cloud computing informalion countermeasure Unmanned Aerial Vehicle(UAV) cooperation
  • 相关文献

参考文献11

  • 1张春磊,杨小牛.认知电子战初探[J].通信对抗,2013,32(2):1-4. 被引量:35
  • 2Manz B.Cognition: EW gets brainy [J].The Journal of Electronic Defense,2012,35(10):32-39.
  • 3DARPA.Behavioral learning for adaptive electronic warfare,DARPA-BAA-10-79[R/OL].2010-07-09.http://www.fbo.gov.
  • 4DARPA.Communications under extreme RF spectrum condition,DARPA-BAA-10-74[R/OL].2010-09-10.http://www.fbo.gov.
  • 5AFRL.Cognitive jammer,RFI-PKS-0001-2010[R/OL].2010-01-20.http://www.fbo.gov.
  • 6ONR.Electronic warfare technology,BAA-13-005[R/OL].2012-11-09.http://www.fbo.gov.
  • 7苏抗,朱伟强.网电空间认知电子战技术[J].航天电子对抗,2014,30(2):27-29. 被引量:7
  • 8苏抗,董乔忠.网络化信息对抗系统资源管理技术[J].航天电子对抗,2015,31(3):10-13. 被引量:1
  • 9陈康,郑纬民.云计算:系统实例与研究现状[J].软件学报,2009,20(5):1337-1348. 被引量:1311
  • 10Sims K.IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing [R/OL],2007.http://www-03.ibm.com/ press/us/en/pressrelease/22613,wss.

二级参考文献41

  • 1Sims K. IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing. 2007. http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
  • 2Boss G, Malladi P, Quan D, Legregni L, Hall H. Cloud computing. IBM White Paper, 2007. http://download.boulder.ibm.com/ ibmdl/pub/software/dw/wes/hipods/Cloud_computing_wp_final_8Oct.pdf
  • 3Zhang YX, Zhou YZ. 4VP+: A novel meta OS approach for streaming programs in ubiquitous computing. In: Proc. of IEEE the 21st Int'l Conf. on Advanced Information Networking and Applications (AINA 2007). Los Alamitos: IEEE Computer Society, 2007. 394-403.
  • 4Zhang YX, Zhou YZ. Transparent Computing: A new paradigm for pervasive computing. In: Ma JH, Jin H, Yang LT, Tsai JJP, eds. Proc. of the 3rd Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2006). Berlin, Heidelberg: Springer-Verlag, 2006. 1-11.
  • 5Barroso LA, Dean J, Holzle U. Web search for a planet: The Google cluster architecture. IEEE Micro, 2003,23(2):22-28.
  • 6Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 1998,30(1-7): 107-117.
  • 7Ghemawat S, Gobioff H, Leung ST. The Google file system. In: Proc. of the 19th ACM Symp. on Operating Systems Principles. New York: ACM Press, 2003.29-43.
  • 8Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters. In: Proc. of the 6th Symp. on Operating System Design and Implementation. Berkeley: USENIX Association, 2004. 137-150.
  • 9Burrows M. The chubby lock service for loosely-coupled distributed systems. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 335-350.
  • 10Chang F, Dean J, Ghemawat S, Hsieh WC, Wallach DA, Burrows M, Chandra T, Fikes A, Gruber RE. Bigtable: A distributed storage system for structured data. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 205-218.

共引文献1346

同被引文献4

引证文献1

二级引证文献8

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