| 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,需要以较短时间内完成在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： |
| 分类号:TN958.2 |
| 基金项目:国家自然科学基金联合基金 |
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| Efficient Multi-dimensional Optimization of Airborne Medium frequency Based on Genetic Algorithm |
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| Abstract: |
| The design of the pulse repetition frequency (PRF) group for airborne pulse Doppler (PD) radars is fundamental to the overall radar design, directly influencing the radar"s performance and operational scope. In the design process of medium to high PRF groups, the optimization of multi-dimensional parameters is essential. Due to the large number of adjustable parameters, this leads to a severe expansion in potential combinations, posing significant demands on 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 systems is usually short, with frequently changing mode requirements, necessitating the selection and preliminary optimization of parameters within a short timeframe to facilitate subsequent design phases. This paper proposes an efficient multi-dimensional optimization method based on genetic algorithms, which not only increases the dimensions of optimization to better meet engineering needs but also significantly enhances optimization efficiency. The effectiveness of the proposed method has been validated through practical applications, demonstrating its significant value in the overall design argumentation of airborne PD radars. |
| Key words: airborne pulsed Doppler radar pulse repetition frequency range-velocity blind zone Genetic algorithm |