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机载软硬杀伤武器协同使用的动态决策方法
引用本文:王云辉,高晓光,樊昊.机载软硬杀伤武器协同使用的动态决策方法[J].系统工程与电子技术,2012,34(9):1822-1828.
作者姓名:王云辉  高晓光  樊昊
作者单位:西北工业大学电子信息学院, 陕西 西安710072
基金项目:国家自然科学基金,西北工业大学基础研究基金(JC201144)资助课题
摘    要:针对空战中电子战系统和火力打击系统在空域、时域和频域中的最优协同使用,构建了以指控中心为决策主体的软硬杀伤武器协同作战框架。首先建立了软硬杀伤性武器的有效作战使用空域、频域和时域模型,然后结合每一决策时刻的战场实时态势得到当前的协同作战使用的静态可选方案集,再采用以全过程综合作战效能最大作为决策策略的马尔可夫动态决策模型,通过迭代求极值得到全作战过程的软硬杀伤行为最优协同使用方案,最后指控中心将决策结果解释为具体的作战战术参数,完成作战指挥控制。仿真实例说明该方法能根据战场态势的动态变化实时得到软硬杀伤性武器的最优使用方案。

关 键 词:系统工程  协同  决策  软硬杀伤武器  马尔可夫动态决策

Dynamic decision making method for cooperation of airborne hardkill /softkill weapons
WANG Yun-hui , GAO Xiao-guang , FAN Hao.Dynamic decision making method for cooperation of airborne hardkill /softkill weapons[J].System Engineering and Electronics,2012,34(9):1822-1828.
Authors:WANG Yun-hui  GAO Xiao-guang  FAN Hao
Institution:School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Abstract:In order to find the optimal coordination strategy to cooperate electronic warfare systems and fire strike systems within time, spatial and frequency domains, a cooperation framework with a command and control centre is built as the key decision making unit. The effective operational models of hardkill/softkill weapons are firstly established in time, spatial and frequency domains. Then a set of possible cooperation strategies is obtained based on current battlefield situation. After that, a Markov dynamic decision making alogorithm is used to identify the real time optimal cooperation strategy of hardkill/softkill actions by interactively optimizing the integrated operational effectiveness of the whole process. Finally, the command and control centre interprets the decision result to concrete operational and tactical parameters and related actions are executed. Simulation results show that the model is able to get a real time optimal cooperation strategy of hardkill/softkill weapons in a dynamic battlefield situation.
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