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基于蚁群算法的对抗资源多目标分配 被引量:5

Multi-Objective Assignment of Jamming Resource Based on ant Colony Algorithm
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摘要 针对多平台设备对抗多雷达目标的应用背景,提出了基于效益的对抗资源多目标分配方法,同时为解决对抗资源与雷达目标数量不对等以及对抗设备可对抗目标数量不同时的对抗资源多目标分配问题,提出了目标筛选与剔除策略和多目标分配的蚁群算法求解模型,并给出求解算法的具体流程。设计算例进行仿真实验分析,验证了提出的多目标分配模型和求解算法的有效性。 Considering the combat scenery that cooperative jamming multi-radar, a multi-objec- tive assignment method of jamming resource based on jamming benefit is presented. A target fil- ter and elimination method and an ant colony algorithm model are given to solve the problems such as jamming resource is generally not equal to the radar number and how to assign jammer resources when the numbers of radars jammers can jam are different simultaneously. The detailed steps of the solving algorithm are presented. At last, the effectiveness of the multi-objec- tive assignment model and the simulation are verified.
作者 唐建强 李昊 TANG Jian-qiang, LI hao(Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, Chin)
出处 《电子信息对抗技术》 2018年第2期48-52,共5页 Electronic Information Warfare Technology
关键词 雷达对抗 资源分配 蚁群算法 ECM resource assignment ant colony algorithm
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