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引用本文: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.[点击复制]
NIU Limin, FAN Mingyi, LIU Yang, ZHANG Weiqing, YANG Guangyu, ZHU Xuancheng, WANG Fei. Efficient Multi⁃Dimensional Optimization of Airborne Medium PRF Based on Genetic Algorithm[J]. Radar Science and Technology, 2024, 22(4): 410-415.[点击复制]
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基于遗传算法的机载中重频高效多维优化
牛利民, 范明意, 刘 扬, 张卫清, 杨广玉, 朱宣城, 王 飞
中国电子科技集团公司第三十八研究所, 安徽合肥 230088
摘要:
机载脉冲多普勒(PD)雷达的重频组设计是雷达总体设计的基础,直接影响雷达的性能和应用场景。在中重频组设计过程中,必须考虑多维度参数的优化,由于可调整参数多,会导致潜在组合数膨胀严重,对计算资源和时间提出了极大的挑战。传统的优化方法,即便在限定参数范围后,仍面临穷举组合数庞大的问题。此外,机载雷达系统设计周期通常较短,模式需求多变,需要在较短时间内完成方案前期参数的选择和初步优化,便于开展后续设计。本文提出了一种基于遗传算法的高效多维优化方法,不仅增加了优化维度以更好满足工程需求,同时显著提升了优化效率。通过应用实例验证了所提方法的有效性,对机载PD雷达总体设计论证具有重要价值。
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
DOI:DOI:10.3969/j.issn.1672-2337.2024.04.007
分类号:TN958.2
基金项目:国家自然科学基金联合基金(No.U23B2007?2)
Efficient Multi⁃Dimensional Optimization of Airborne Medium PRF Based on Genetic Algorithm
NIU Limin, FAN Mingyi, LIU Yang, ZHANG Weiqing, YANG Guangyu, ZHU Xuancheng, WANG Fei
The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China
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 exhaustive 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 efficiency. 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.
Key words:  airborne pulse Doppler radar  pulse repetition frequency  range⁃velocity blind zone  genetic algorithm

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