Autonomous interference decision-making method based on genetic algorithm

Abstract

Abstract: Aiming at the problem of low success rate of large high-value unmanned aerial vehicle (UAV) against infrared sur鄄 face-to-air missile, an autonomous interference decision-making model of infrared decoy delivery for typical confrontation situation is proposed combining with the use of infrared decoy. Firstly, to provide data support for the selection of delivery strategy of decoy, the sample library of infrared countermeasures is established based on the delivery strategy set of decoy and typical countermeasure situation. Secondly, the delivery strategy of decoy for typical confrontation situation is obtained based on genetic algorithm and decision matching. Finally, the nearoptimal autonomous countermeasure strategy model under any situation is obtained through tri-linear interpola鄄 tion idea and infrared countermeasure strategy migration model. The results of confrontation simulation experi鄄 ments in different infrared scenes show that the autonomous decision-making model proposed in this paper is ef鄄 fective and feasible.

Key words: infrared countermeasure, autonomous decision-making, surface-to-air missile, interference strategy, confrontation posture, genetic algorithm

CLC Number:

ZHU Zhuo , LIU Qiyan , ZHANG Ce. Autonomous interference decision-making method based on genetic algorithm[J]. Journal of Civil Aviation University of China, 2023, 41(4): 58-64.

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