Research on the Static WTA of Terminal Cooperative Air Defense Impacted by Coupling Factors

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Abstract

The factors impacting the effect of terminal cooperative air defense were analyzed and classified from the coupling mechanism perspective. Air defense scenery as a key point of weapon target assignment (WTA) algorithm research was set considering both the reality of the terminal air defense and the demand of algorithm comparison. We design suitable particle coding structure for the problem about WTA of cooperative air defense based on the characteristics of soft and hard weapon. Two methods are designed based on Hungarian algorithm and particle swarm optimization (PSO) algorithm separately. Design a terminal cooperative air defense scenery based on coupling factors, in which we can demonstrate and compare the effect of two method of static WTA problem. It argues the advantage and foresight of application of artificial intelligence (AI) algorithm in static WTA based on numeric calculation.
耦合因素影响的末端协同防空静态WTA研究
从耦合机制角度对影响末端协同防空效果的因素进行了分析和分类。考虑到末端防空的实际情况和算法比较的需要,将防空景物作为武器目标分配算法研究的重点。根据软兵器和硬兵器的特点,设计了适合于协同防空WTA问题的粒子编码结构。分别基于匈牙利算法和粒子群优化(PSO)算法设计了两种方法。设计了一种基于耦合因素的终端协同防空景物,对两种静态WTA方法的效果进行了论证和比较。在数值计算的基础上,论证了人工智能算法在静态WTA中应用的优势和前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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