摘要
在舰船设计过程中,其雷达隐身性能是一项重要的设计指标。本文针对舰船雷达截面散射RCS模型,采用遗传算法进行舰船雷达隐身的优化设计,基于遗传算法可以得到舰船外形的设计变量组合,通过变量迭代和寻优,实现舰船的RCS优化设计,提高其隐身性能。相对于传统的舰船隐身设计方法,本文所提方法采用了多目标优化理论,隐身设计的效率更高,效果更好。
In the design process of military ships and warships,the stealth performance of ship radar is an important design indicator.This article focuses on the RCS model of ship radar cross-section scattering,and combines genetic algorithm to optimize the design of ship radar stealth.Based on genetic algorithm,the design variable combination of ship shape can be obtained.Through variable iteration and optimization,the optimization design of ship RCS can be achieved,improving the ship's stealth performance.Compared to traditional ship stealth design methods,the method proposed in this article adopts multi-objective optimization theory,resulting in higher efficiency and better effectiveness of stealth design.
作者
李妹
LI Mei(Nanchang Institute of Technology,Nanchang 330044,China)
出处
《舰船科学技术》
北大核心
2023年第19期161-164,共4页
Ship Science and Technology
关键词
雷达隐身
RCS
散射
遗传算法
radar stealth
RCS
scattering
genetic algorithm