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Volume 26 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2018  >  26(6): 543-548
KOU Zhu, REN Lei, SUN Qing-sheng. Simulation on Artificially Scattered Shooting Method of Anti-Frogman Killing Bombs[J]. Journal of Unmanned Undersea Systems, 2018, 26(6): 543-548. doi: 10.11993/j.issn.2096-3920.2018.06.006
Citation: KOU Zhu, REN Lei, SUN Qing-sheng. Simulation on Artificially Scattered Shooting Method of Anti-Frogman Killing Bombs[J]. Journal of Unmanned Undersea Systems, 2018, 26(6): 543-548. doi: 10.11993/j.issn.2096-3920.2018.06.006
shu

Simulation on Artificially Scattered Shooting Method of Anti-Frogman Killing Bombs

doi: 10.11993/j.issn.2096-3920.2018.06.006
  • 1.

    China Department of Underwater Weaponry and Chemical Defense, Dalian Naval Academy, Dalian 116018, China

  • 2.

    91278th Unit, the People’s Liberation Army of China, Dalian 116041, China

  • Received Date: 2018-05-31
  • Rev Recd Date: 2018-08-10
  • Publish Date: 2018-12-31
    Abstract
  • In view of the problem that the traditional shooting method of anti-frogman killing bombs is not efficient, the factors affecting the shooting efficiency are discussed through error analysis, hence an artificially scattered shootingmethod is put forward. A scheme of concrete artificially scattered shooting and a calculation model of dispersion position for the killing bombs are built, then the damage probabilities of salvo of killing bombs using different shooting methods are comparatively analyzed. Simulation results show that: when the target distance is large, the proposed artificially scattered shooting method can gain the damage probability of salvo 20%~25% higher than the traditional shooting method. This research may provide a theoretical basis for improving operational capability of the anti-frogman killing bombs.

     

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    • References(10)
  • [1]
    佘博, 李进军, 钱贵鑫, 等. 反蛙人火箭炮的射击效率建模与仿真[J]. 弹道学报, 2014, 26(4): 61-65.

    She Bo, Li Jin-jun, Qian Gui-xin, et al. Shooting Efficiency Modeling and Simulation of Anti-frogman Rocket [J]. Journal of Ballistics, 2014, 26(4): 61-65.
    [2]
    张彦敏, 佟盛. 反蛙人技术在港口监控中的战术应用[J]. 舰船科学技术, 2008, 6(6): 168-171.

    Zhang Yan-min, Tong Sheng. Tactics Appliance of Anti-diver Technique in Harbor Defenses[J]. Ship Science and Technology, 2008, 6(6): 168-171.
    [3]
    易华君. 日益发展的反蛙人装备[J]. 水雷战与舰船防护, 2006, 4(4): 61-65.
    [4]
    孟庆操, 杨光. 反蛙人杀伤弹水中弹道模型与仿真[J]. 火力与指挥控制, 2018, 10(5): 117-120.

    Meng Qing-cao, Yang Guang. Research on Underwater Ballistic Model and Simulation of Antifrogman Fragmentation Bomb[J]. Fire Control & Command Control, 2018, 10(5): 117-120.
    [5]
    李文哲, 张宇文, 时进发, 等. 火箭深弹人工散布射击方法[J]. 火力与指挥控制, 2009, 34(4): 85-87.

    Li Wen-zhe, Zhang Yu-wen, Shi Jin-fa, et al. Research on Firing Methods of Rocket Depth-charge Artificial Scatter[J]. Fire Control & Command Control, 2009, 34(4): 85-87.
    [6]
    杨福渠. 火箭深弹射击效率[M]. 北京: 国防工业出版社, 1992.
    [7]
    李柯, 刘忠, 毛盾. 基于反蛙人声呐的小目标检测算法[J]. 舰船电子工程, 2010, 7(7): 173-176.

    Li Ke, Liu Zhong, Mao Dun. Algorithm for Detection of Small Target in Sonar Image Based on Anti-diver Sonar[J]. Ship Electronic Engineering, 2010, 7(7): 173-176.
    [8]
    李启华, 吉海鹏. 最小二乘法在测定目标运动要素中的应用研究[J]. 广州航海高等专科学校学报, 2008, 16(1): 5-7.

    Li Qi-hua, Ji Hai-peng. The Application of Least Square Method in Mensurating the Target’s Movement Factors[J]. Journal of Guangzou Maritime College, 2008, 16(1): 5-7.
    [9]
    杜比. 蒙特卡洛方法在系统工程中的应用[M]. 卫军胡,译. 西安: 西安交通大学出版社, 2007.
    [10]
    王娟娟, 郭育, 邱丽媛, 等. 基于TOPSIS原理的水下反蛙人作战能力评估及应用[J]. 水雷战与舰船防护, 2017, 3(3): 83-90.

    Wang Juan-juan, Guo Yu, Qiu Li-yuan, et al. Combat Capability Evaluation and Application of Underwater Anti-frogman Based on TOPSIS Principle[J]. Mine Warfare & Ship Self-Defence, 2017, 3(3): 83-90.
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