Academic Journal of Computing & Information Science, 2023, 6(8); doi: 10.25236/AJCIS.2023.060804.
Xiwei Yang1, Xiaofei Li1, Huiwen Hu2, Bin Zhang1, Xinxin Guo1, Long Zhao1, Zhen Cao1, Yufei Cao1, Chenglong Zhang1
1Beijing Institute of Electronic System Engineering, Beijing, 100854 ,China
2College of Intelligent System Science and Engineering, Harbin Engineering University, Harbin, 150001, China
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.
PCA, terminal cooperative air defense, guided air defense missile, electronic countermeasure weapon, WTA, AI algorithm
Xiwei Yang, Xiaofei Li, Huiwen Hu, Bin Zhang, Xinxin Guo, Long Zhao, Zhen Cao, Yufei Cao, Chenglong Zhang. Research on the Static WTA of Terminal Cooperative Air Defense Impacted by Coupling Factors. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 8: 37-45. https://doi.org/10.25236/AJCIS.2023.060804.
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