期刊文献+

超视距协同空战火力打击网络协同目标分配研究 被引量:1

Research on Firepower Attack Network Coordinated Target Assignment in Beyond-visual-range Coordinated Air Combat
在线阅读 下载PDF
导出
摘要 针对超视距协同空战目标分配问题,结合常规超视距协同空战目标分配方法,提出火力打击网络协同目标分配和超视距拦截联盟概念。根据火力打击网络协同目标分配含义和相关约束条件构建新的协同目标分配模型。并结合具体超视距协同空战实例进行模型的求解。通过具体实例与常规目标分配模型比较结果可知,在本文假设条件下,相对于常规目标分配结果,火力打击网络目标分配更能体现超视距协同空战的协同性。应用新的目标分配模型能够增加拦截次数,提高拦截效率,但同时增加了制导难度并牺牲了命中概率。本文所用方法和所得结论可为后续超视距协同空战目标分配研究提供参考。 For the problem of target assignment in beyond-visual-range coordinated air combat, the concepts of firepower attack network coordinated target assignment and beyond visual range interception coalition based on the conventionnal methods of target assignment in beyond-visual-range coordinated air combat are put forward. The new coordinated target assignment model is built by the implication of the firepower attack network coordinated target as- signment and some constraints. The model is validated by a beyond-visual-range coordinated air combat example. The analysis result indicates that the new target assignment provided by this paper can be more collaborative than conventionnal methods of target assignment. By using new target assignment, the total times and efficiency of inter- ceptions in beyond-visual-range coordinated air combat are enhanced. Meanwhile, the missile guidance is more dif- ficult, and the hit probability is decreased. The research of this paper can provide reference for the subsequent study of the target assignment in beyond-visual-range coordinated air combat.
出处 《科学技术与工程》 北大核心 2013年第14期4134-4140,共7页 Science Technology and Engineering
关键词 超视距协同空战 火力打击网络 超视距拦截联盟 目标分配 beyond-visual-range coordinated air combatinterception coalition target assignmentfirepower attack network beyond visual range
  • 相关文献

参考文献11

二级参考文献56

共引文献112

同被引文献9

  • 1KRISHNANAND K N, GHOSE D. Multimodal function op- timization using a glowworm metaphor with applications to collective robotics [ C ]//Proceedings of the Second Indian International Conference on Artificial Intelligence, 2005: 328 - 346.
  • 2KRIKPATRICK S, GERLATr C D, VECCHI M P. Opti- mization by simulated annealing [ J]. Science, 1983, 220 (4598) : 671 - 680.
  • 3SUMAN B, KUMAR P. A survey of simulated annealing as a tool for single and multi-objective optimization [ J]. Jour- nal of the Operational Research Society, 2006, 57 ( 10 ) : 1143 - 1160.
  • 4KRISHNANAND K N, GHOSE D. Glowworm swarm opti- mization: A new method for optimizing multi-modal func- tions [ J ]. International Journal of Computational Intelli- gence Studies, 2009, 1(1) : 93 - 119.
  • 5KRISHNANAND K N, GHOSE D. Glowworm swarm opti- mization for simultaneous capture of multiple local optimal of multimodal functions [ J ]. Swarm Intelligence, 2009, 3 (2) : 87 - 124.
  • 6KRISHNANAND K N, GHOSE D. Glowworm swarm opti- mization for muttimodal search spaces [ M ]. SpringerBerlin Heidelberg: Handbook of Swarm Intelligence, 2010:451 - 467.
  • 7YU F L, TU F, PATrIPATI K R. A novel congruent or- ganizational design methodology using group technology and a nested genetic algorithm [ J ]. IEEE Transactions on Systems, Marl, and Cybernetics-Part A: Systems and Hu- man, 2006, 36 ( 1 ) : 5 - 18.
  • 8肖冰松,方洋旺,胡诗国,曾宪伟.多机空战协同制导决策方法[J].系统工程与电子技术,2009,31(3):610-612. 被引量:36
  • 9费爱国,张陆游,胡晓静.基于改进拍卖算法的空空导弹制导权移交技术研究[J].上海航天,2013,30(1):18-23. 被引量:3

引证文献1

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