系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (8): 2520-2525.doi: 10.12305/j.issn.1001-506X.2026.08.02

• 电子技术 • 上一篇    

基于动态加权均匀圆阵的无人机鲁棒测向方法

黄敏(), 李召瑞(), 孙慧贤(), 倪想()   

  1. 陆军工程大学石家庄校区,河北 石家庄 050003
  • 收稿日期:2025-07-02 修回日期:2025-08-29 出版日期:2025-12-08 发布日期:2025-12-08
  • 通讯作者: 李召瑞 E-mail:sky20250129@163.com;zhaorui771212@163.com;Ares_sun@163.com;nx07172003@163.com
  • 作者简介:黄 敏(1993—),男,硕士研究生,主要研究方向为无人机探测与识别
    孙慧贤(1980—),男,副教授,博士,主要研究方向为指挥控制工程、通信对抗侦察
    倪 想(2003—),男,硕士研究生,主要研究方向为无人机探测与识别
  • 基金资助:
    科研基金(50904070501);科技创新人才工程科研项目基金(202240202232)资助课题

Robust direction finding method for UAV based on dynamic weighted UCA

Min HUANG(), Zhaorui LI(), Huixian SUN(), Xiang NI()   

  1. Shijiazhuang Campus,Army Engineering University of PLA,Shijiazhuang 050003,China
  • Received:2025-07-02 Revised:2025-08-29 Online:2025-12-08 Published:2025-12-08
  • Contact: Zhaorui LI E-mail:sky20250129@163.com;zhaorui771212@163.com;Ares_sun@163.com;nx07172003@163.com

摘要:

针对无人机测向的高精度和强鲁棒需求,提出一种基于动态加权均匀圆阵的鲁棒测向方法。该方法在均匀圆阵结构基础上,通过迭代计算各基线相位差的残差方差,实时评估噪声对每条基线的影响程度,并融合基线长度对测向分辨力的影响,动态构建权重矩阵,从而优化方向估计过程。实验结果表明,在复杂的高斯?脉冲混合噪声环境下,所提方法显著抑制了强噪声干扰,实现了测向的高精度,并展现出毫秒级的实时性和优异的鲁棒性,为低空安防系统中的无人机实时监测与跟踪提供了可靠的技术支撑。

关键词: 无人机测向, 均匀圆阵, 动态加权, 相位干涉仪

Abstract:

To address the high-precision and strong robustness requirements of unmanned aerial vehicle (UAV) direction finding, a robust direction-finding method based on a dynamic weighted uniform circular array (UCA) is proposed. Building upon the UCA structure, the method iteratively calculates the residual variance of the phase difference for each baseline to evaluate the impact of noise on each baseline in real time. By integrating the influence of baseline length on direction-finding resolution, it dynamically constructs a weight matrix to optimize the direction estimation process. Experimental results demonstrate that in a complex Gaussian-pulse mixed noise environment, the proposed method significantly suppresses strong noise interference, achieves high-precision direction finding, and exhibits millisecond-level real-time performance along with excellent robustness, providing reliable technical support for real-time UAV monitoring and tracking in low-altitude security systems.

Key words: direction finding of unmanned aerial vehicle, uniform circular array (UCA), dynamic weighting, phase interferometer

中图分类号: