Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (6): 1404-1408.

• 系统工程 • 上一篇    下一篇

基于多阶段多指标的编队干扰方案协同决策研究

阮旻智1, 李庆民1, 于志良2, 王红军2   

  1. 1. 海军工程大学兵器工程系, 湖北, 武汉, 430033;
    2. 海军大连舰艇学院基础部, 辽宁, 大连, 116018
  • 收稿日期:2008-03-13 修回日期:2008-11-17 出版日期:2009-06-20 发布日期:2010-01-03
  • 作者简介:阮旻智(1983- ),男,博士研究生,主要研究方向为武器系统仿真与试验.E-mail:ruanminzhi830917@sins.com
  • 基金资助:
    国家自然科学基金项目资助课题(70871117)

Research on cooperative decision-making of fleet jamming schemes based on multi-stage and multi-objective

RUAN Min-zhi1, LI Qing-min1, YU Zhi-liang2, WANG Hong-jun2   

  1. 1. Dept. of Weaponry Engineering, Naval Univ. of Engineering, Wuhan 430033, China;
    2. Basic Sciences Dept. of Dalian Naval Academy, Dalian 116018, China
  • Received:2008-03-13 Revised:2008-11-17 Online:2009-06-20 Published:2010-01-03

摘要: 在现有装备的基础上,为合理地选择各个阶段的干扰方案以达到最佳效果,将编队干扰方案决策问题看作一个多阶段多指标系统,依据系统协同原理,定义了协同度概念,将模糊优选理论与动态规划原理相结合,提出一种能够有效求解多阶段多指标问题协同决策的方法。将该方法运用于编队干扰方案决策中,建立了全程决策数学模型。在给定的战术想定情况下,对求解过程进行了分析,为能够实时准确地得到各种作战态势下的最优决策,编程设计了基于GUI的干扰方案决策系统操作界面,通过仿真分析了不同指标权值下协同度对决策结果的影响。

Abstract: In order to choose the jamming schemes reasonably in different stages and get the optimum efficiency under the given jamming equipment,fleet jamming schemes decision is considered as a multi-stage and multi-target system,the concept of the cooperative degree is defined based on systematic cooperation principle.Combining the fuzzy optimum selection and the dynamic programming methodology,a method of effective solving the multi-stage and multi-target problem based on cooperation is presented.This method is applied to the area of jamming schemes decision,and an all-course decision model is established.In a given tactical case,the computing process is analyzed,and the decision system interface of jamming schemes based on GUI is designed for getting the optimum decision timely and accurately in different operational situations,through simulation,the influence of the cooperative degree on decision results is analyzed under the case of different target weights.

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