雷达科学与技术2024，Vol.22Issue(4)：410-415,426,7.DOI:10.3969/j.issn.1672-2337.2024.04.007
基于遗传算法的机载中重频高效多维优化
Efficient Multi-Dimensional Optimization of Airborne Medium PRF Based on Genetic Algorithm
摘要
Abstract
The design of the pulse repetition frequency(PRF)group of airborne pulse Doppler(PD)radar is the foundation to the overall radar design,which directly influences the radar's performance and application scenarios.In the design process of medium to high PRF groups,the optimization of multi-dimensional parameters is essential.The large number of adjustable parameters lead to a severe expansion in potential combinations,posing a great challenge to computational resources and time.Traditional optimization methods still face the problem of an enormous number of ex-haustive combinations,even after the parameter range is defined.Additionally,the design cycle of airborne radar system is usually short,with frequently changing mode requirements.It is necessary to complete the selection and preliminary optimization of the parameters in the early stage of the scheme in a short time,so as to facilitate subsequent design.This paper proposes an efficient multi-dimensional optimization method based on genetic algorithm,which not only increases the optimization dimensions to better meet the engineering needs,but also significantly enhances the optimization effi-ciency.The effectiveness of the proposed method has been validated through practical applications,demonstrating its significant value to the overall design argumentation of airborne PD radars.关键词
机载脉冲多普勒雷达/脉冲重复频率/距离-速度遮蔽/遗传算法Key words
airborne pulse Doppler radar/pulse repetition frequency/range-velocity blind zone/genetic algo-rithm分类
信息技术与安全科学引用本文复制引用
牛利民,范明意,刘扬,张卫清,杨广玉,朱宣城,王飞..基于遗传算法的机载中重频高效多维优化[J].雷达科学与技术,2024,22(4):410-415,426,7.基金项目
国家自然科学基金联合基金(No.U23B2007-2) （No.U23B2007-2）
