火力与指挥控制2025，Vol.50Issue(2)：21-28,35,9.DOI:10.3969/j.issn.1002-0640.2025.02.003
基于发现概率地对空雷达干扰源分配的改进型遗传算法
Improved Genetic Algorithm for Jamming Source Allocation of Ground to Air Radar Based on Detection Probability
摘要
Abstract
To address the difficulities of jamming resource allocation in large-scale jammer and airborne radar scenarios,an improved genetic algorithm is designed based on mapped binary encoding.This algorithm combines the application background of the incoming airborne radar with jammer confrontation,taking the detection probability as index,the optimal jamming resource allocation strategy under the minimum of detection probability is solved.The simulation results show that compared with the classic genetic algorithms,with vast solution spaces,The simulation results indicate that the proposed method can save storage space efficiently,can accelerate the iterative convergence of the algorithm,and is well suitable for hardware binary processing systems.关键词
改进型遗传算法/发现概率/干扰资源分配/雷达干扰Key words
improved genetic algorithm/detection probability/jamming resource allocation/radar jamming分类
电子信息工程引用本文复制引用
卿朝进,何林锶,王子龙,张银杰,赵桂毅,林辉..基于发现概率地对空雷达干扰源分配的改进型遗传算法[J].火力与指挥控制,2025,50(2):21-28,35,9.基金项目
国家自然科学基金(62301447) （62301447）
四川省科技计划资助项目(2023YFG0316) （2023YFG0316）
四川省科技计划"揭榜挂帅"项目(23GSC00004) （23GSC00004）
