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

作　　者：卿朝进 何林锶 王子龙 张银杰 赵桂毅 林辉 QING Chaojin;HE Linsi;WANG Zilong;ZHANG Yinjie;ZHAO Guiyi;LIN Hui(School of Electrical Engineering and Electronic Information,Xihua University,Chengdu 610039,China;Chengdu Aerospace Kate Electromechanical Technology Co.,Ltd,Chengdu 611730,China)

机构地区：[1]西华大学电气与电子信息学院,成都610039 [2]成都航天凯特机电科技有限公司,成都611730

出　　处：《火力与指挥控制》2025年第2期21-28,35,共9页Fire Control & Command Control

基　　金：国家自然科学基金(62301447);四川省科技计划资助项目(2023YFG0316);四川省科技计划“揭榜挂帅”项目(23GSC00004)。

摘　　要：针对大规模干扰机和机载雷达场景下干扰资源分配困难的问题,设计一种基于映射二进制编码的改进型遗传算法。算法结合干扰机对抗来袭机载雷达的应用背景,以发现概率作为指标,求解发现概率最小化下的最优干扰资源分配策略。仿真结果表明,相对于经典遗传算法,在解空间巨大的情况下,所提方法有效地节省了存储空间,加速了算法的迭代收敛,并适用于硬件二进制处理系统。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 

分 类 号：TN974[电子电信—信号与信息处理]