通过混乱粒子群集优化,用于共弦和窗口函数的侧环抑制
Zeyin Dong1,2, Yuqi Chen3
1Chongqing Academy of Information and Communications Technology, Chongqing, 401336, China. dongzeyin@whu.edu.cn.
Scientific reports
|December 24, 2025
概括
这项研究介绍了一种使用混乱粒子群集优化 (W-CPSO) 进行雷达脉冲压缩的新型窗口函数设计算法. W-CPSO算法增强了侧叶抑制,并改善了雷达系统中的弱目标检测.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 雷达系统 雷达系统
背景情况:
- 侧叶片抑制是雷达脉冲压缩的一个关键挑战.
- 传统的窗口函数 (如Hamming,Hanning) 具有固定的参数,限制了它们的应用灵活性.
研究的目的:
- 开发一个灵活的窗口功能设计算法,以改善侧叶抑制.
- 为了提高雷达脉冲压缩处理的性能,特别是用于弱目标检测.
主要方法:
- 使用泰勒数列扩展,推导出共乘和窗口函数的多项式表示.
- 提出了一个混乱的粒子群优化 (CPSO) 算法 (W-CPSO) 来优化多项式系数.
- 应用W-CPSO来优化已建立的窗口功能,如哈明,汉恩和布莱克曼.
主要成果:
- 优化窗口功能在侧叶抑制方面显著改善.
- 主叶宽度保持在与传统窗户相比的水平.
- 模拟证实了在多目标场景中检测弱目标的卓越性能.
结论:
- 拟议的W-CPSO算法为雷达的窗口功能设计提供了一种灵活和有效的方法.
- 优化的窗口显著提高了雷达系统的能力,特别是在复杂的检测环境中.
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