针对多空中威胁目标的联合火力协同分配打击策略
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TP391.1

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本文受国家自然科学基金资助项目(61671362)基金;陕西省科技厅重点研发计划(2019GY-022);CMEE国家重点实验室基金(CEMEE2020Z0202B)资助。第一作者:付博雯(1996—),男,汉族,硕士研究生。研究方向:机器学习、目标分配。E-mail:313838996@qq.com。*通信作者:王鹏(1978—),男,汉族,博士,教授。研究方向:计算机视觉、嵌入式系统。E-mail:wp_xatu@163.com。 (1. Xi’an Technological University, Xi’an 710021,China;)


Joint Fire Coordinated Distribution Strike Strategy for Multiple Aerial Threats
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    摘要:

    威胁评估及火力分配打击是打击决策中的重要环节,战场环境因素的复杂性、不确定性,使得现有的威胁评估算法在进行威胁度计算时考虑的因素不够全面,难以有效支撑火力打击决策环节。因此,本文提出一种考虑、飞行高度、空中运行姿态、行进速度、携弹数量的多空中威胁因素问题模型,基于此模型获取火力协同打击策略。利用本文方法解算出在某一任意环境下,火力系统的最优协同打击策略。通过仿真对比经典粒子群优化算法,本文算法能够更快收敛,验证了本方法的有效性和可靠性。

    Abstract:

    Threat assessment and firepower distribution strikes are important links in the decision-making process. The complexity and uncertainty of battlefield environmental factors make existing threat assessment algorithms not comprehensive enough to consider the threat degree calculations, which is difficult to effectively support firepower strike decision Link. Therefore, a multi-air threat factor model that considers, flight altitude, air attitude, travel speed, and number of carried bombs is proposed in this paper. Based on this model, a firepower coordinated strike strategy is obtained.The method in this paper is used to calculate the optimal coordinated strike strategy of the firepower system in an arbitrary environment. Compared with the classical particle swarm optimization algorithm through simulation, the algorithm in this paper can converge faster, which verifies the effectiveness and reliability of the method.

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付博雯,王鹏,邸若海,等. 针对多空中威胁目标的联合火力协同分配打击策略[J]. 科学技术与工程, 2020, 20(24): 9963-9969.
FU Bo-wen, DI Ruo-hai, LI Xiao-yan, et al. Joint Fire Coordinated Distribution Strike Strategy for Multiple Aerial Threats[J]. Science Technology and Engineering,2020,20(24):9963-9969.

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  • 收稿日期:2020-01-13
  • 最后修改日期:2020-06-01
  • 录用日期:2020-04-08
  • 在线发布日期: 2020-09-21
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