高梦宇,张文鑫,李俊仪

• 1:北京信息科技大学自动化学院

摘要(Abstract)：

快速、精准的角度估计可优化多输入多输出（multiple input multiple output,MIMO）毫米波雷达手势识别性能。但该雷达虚拟阵列呈非均匀排布，会产生阵列流形失配并降低波达方向（direction of arrival, DOA）估计精度，且传统二维多重信号分类（two-dimensional multiple signal classification, 2D-MUSIC）算法计算复杂度较高，限制了其在实际应用中的部署。为应对上述挑战，提出了一种非均匀阵列DOA(non-uniform array DOA, NUA-DOA)估计算法。对采集的时域回波数据进行静态杂波抑制预处理，以增强目标回波并抑制背景干扰，对预处理后的数据进行距离-速度维快速傅里叶变换（fast Fourier transform, FFT）获取目标二维频谱；然后，结合非均匀阵列的真实空间几何结构构建结构化阵列流形，并通过协方差子空间分解实现二维角度参数的解耦与降维估计。实验结果表明，本文算法通过真实非均匀阵列建模与结构化降维搜索，在保持与2DMUSIC接近角度估计精度的同时，将平均运行时间降低约一个数量级，能够满足手势识别系统的实时处理需求。

关键词(KeyWords)： 毫米波雷达;非均匀虚拟阵列;波达方向估计;多重信号分类算法;手势识别

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金青年基金项目(62406032);; 北京市自然科学基金项目(4242036)

作者(Author): 高梦宇,张文鑫,李俊仪

DOI: 10.16508/j.cnki.11-5866/n.2026.04.004

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