对空防御态势分析中敌平台战术任务识别方法  

Tactical Tasks of Operation Platform Recognition in Situation Assessment for Antiaircraft Defending

作　　者：崇元[1] 李加祥[1] 

机构地区：[1]海军大连舰艇学院,辽宁大连116018

出　　处：《指挥控制与仿真》2015年第2期6-12,共7页Command Control & Simulation

摘　　要：针对传统战术任务推理方法难以处理对抗性意图存在欺骗行为的问题,通过变换态势分析人员视角,以敌方指挥员角度建立了基于作战效能最大化的单平台战术任务推理模型。模型首先根据对空防御战场态势构建了执行各战术任务的效能评价指标及其优势函数;进而将此多平台战术任务推理转化为多目标优化问题,并通过连续Hopfield神经网络优化算法对该问题进行求解。最后通过仿真实验对推理模型的可行性与有效性进行了验证。To solve the problem of traditional tactical tasks reasoning method is difficult to deal with antagonistic intention exists the problem of cheating, from transforming the perspective of situational analysis personnel, the model of tactical tasks reasoning for operation platform based on maximum operation efficiency was built. Firstly, according to the battlefield of anti-aircraft defending built the effectiveness evaluation index and the effectiveness advantage function for each tactical tasks. Then, the multi-platform tactical tasks reasoning was translated into the multiple target optimization problem, and the Hopfield neural network algorithm was designed to solve the problem. Finally, the simulation results indicate that the reason-ing model is feasible and effective.

关 键 词：战术任务推理 作战效能优势 视角变换 HOPFIELD神经网络 多目标优化 

分 类 号：E844[军事—战术学]