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密集无人机目标雷达非凸DOA估计方法

何贵栋 雷鹏 王俊

北京航空航天大学学报2026,Vol.52Issue(9):3100-3107,8.
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北京航空航天大学学报2026,Vol.52Issue(9):3100-3107,8.DOI:10.13700/j.bh.1001-5965.2025.0387

密集无人机目标雷达非凸DOA估计方法

Nonconvex radar DOA estimation method for dense UAV targets

何贵栋 1雷鹏 1王俊2

作者信息

  • 1. 北京航空航天大学 电子信息工程学院,北京 100191
  • 2. 北京航空航天大学杭州创新研究院,杭州 310000
  • 折叠

摘要

Abstract

With the rapid development of the low-altitude economy,unmanned aerial vehicles(UAV)have been widely deployed in fields such as logistics,inspection,and surveillance.Their large-scale deployment imposes increasing demands on target detection and identification capabilities.However,in real-world situations,UAV swarms frequently result in widely separated arrival angles and notable variations in echo energy,which provide major difficulties for conventional direction of arrival(DOA)estimate techniques.To address this,this paper proposes a DOA estimation algorithm based on non-convex optimization.First,the number of closely spaced targets is adaptively estimated via eigenvalue analysis of the covariance matrix,thereby avoiding dependence on prior information.Then,a non-convex sparse constraint model incorporating a Laplacian prior is constructed,which preserves angle discretization while mitigating the off-grid effect,and achieves super-resolution angle estimation through iterative optimization.In the presence of coexisting strong and weak targets,the suggested non-convex regularization term can improve robustness to echo power imbalance by suppressing main-lobe interference and increasing weak target detection.Simulation results validate the effectiveness and robustness of the proposed method in complex UAV detection scenarios,demonstrating higher estimation accuracy and success rate.

关键词

无人机目标/到达角估计/角度超分辨/非凸优化/雷达探测

Key words

unmanned aerial vehicles targets/direction of arrival estimation/angle super-resolution/non-convex optimization/radar sensing

分类

信息技术与安全科学

引用本文复制引用

何贵栋,雷鹏,王俊..密集无人机目标雷达非凸DOA估计方法[J].北京航空航天大学学报,2026,52(9):3100-3107,8.

基金项目

实时毫米波成像芯片与设备研制(2023C01148) (2023C01148)

毫米波视频智能感知创新团队(TD2022006) Development of Real-Time Millimeter-Wave Imaging Chips and Devices(2023C01148) (TD2022006)

Millimeter-Wave Video Intelligent Perception Innovation Team(TD2022006) (TD2022006)

北京航空航天大学学报

1001-5965

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