期刊文献+

火箭助飞声诱饵对抗鱼雷的舰艇规避优化模型及其生存概率分析 被引量:16

Evadable Optimization Model and Survival Probability Analysis of Warship with Rocket Assist Acoustic Decoy Countering Torpedo
在线阅读 下载PDF
导出
摘要 基于非线性规划理论,建立了使用助飞声诱饵对抗声自导鱼雷的舰艇规避机动模型及声诱饵的最优发射参数模型,并使用该模型对舰艇的生存概率进行了仿真计算和分析,最后得出了使用助飞声诱饵的几点结论,可解决水面舰船使用助飞声诱饵对抗声自导鱼雷的问题,对推动装备的作战使用和提高舰艇生存概率具有重要意义。 The evadable maneuvering model of the surface warship with the rocket assist acoustic decoy countering the acoustic homing torpedo and the optimal fire parameter model of the decoy were built up based on nonlinear programming theory. The survival probability of the warship was simulated and analyzed by the models. Some conclusions of launching the decoy were drawn, which can solve the evadable problem of the warship with the decoy countering the torpedo and have important meaning to promoting the employ of the equipment and improving the survival probability of the warship.
出处 《兵工学报》 EI CAS CSCD 北大核心 2008年第5期637-640,共4页 Acta Armamentarii
关键词 运筹学 火箭助飞声诱饵 水声对抗 声自导鱼雷 非线性规划 operation research rocket assist acoustic decoy acoustic warfare acoustic homing torpedo non-linear programming
  • 相关文献

参考文献2

二级参考文献3

共引文献16

同被引文献98

  • 1贾跃,宋保维,梁庆卫.火箭深弹拦截鱼雷方法及作战过程[J].火力与指挥控制,2006,31(3):41-43. 被引量:9
  • 2吴晓海,谢国新,赵志军.利用火箭深弹系统拦截鱼雷的技术改进方法探析[J].指挥控制与仿真,2007,29(2):14-17. 被引量:8
  • 3周宏安,刘三阳.基于二次规划与相对优势度的不确定多属性决策法[J].系统工程与电子技术,2007,29(4):559-562. 被引量:15
  • 4高学强,宋强,杨日杰.水声硬对抗技术研究综述[J].舰船科学技术,2007,29(2):28-31. 被引量:12
  • 5刘亚光,孟宪禹.声纳原理[M].大连:海军大连舰艇学院,1998.
  • 6Ko-Hsin Liang,Kuei-Ming Wang.Using simulation and evolutionary algorithms to evaluate the design of mix strategies of decoy and jammers in anti-torpedo tactics[C]// Proceedings of the 2006 Winter Simulation Conference:1299-1306.
  • 7顾建良.潜艇自航式声诱饵弹道方式优化研究.水声对抗,1994,1:12-18.
  • 8Armo K R.The relationship between a submarine's maximum speed and its evasive capability[D].Monterey CA:Operations Research Department,Naval Post-graduate School.
  • 9KIERSTEAD D, DELBALZO D. A genetic algorithm applied to planning search paths in complicated environments [J]. Military Operations Research, 2003,8 (2) :45-59.
  • 10LIANG K H, NEWTON C S. Evolutionary algorithms for design optimization of anti-submarine search problem[ C ]// The 5th International Conference on Simulated Evolution And Learning (SEAL04). Busan, Korea, 2004.

引证文献16

二级引证文献50

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