火力与指挥控制2026，Vol.51Issue(5)：67-73,7.DOI:10.3969/j.issn.1002-0640.2026.05.009
基于毫米波雷达的人流量检测方法
Crowd Flow Detection Method Based on Millimeter Wave Radar
摘要
Abstract
Aiming at the shortcomings of existing video surveillance-based crowd flow statistics schemes such as high cost,complex algorithms and poor privacy protection,a crowd flow detection method based on millimeter-wave radar is proposed by taking advantage of its small size,low cost and high resolution.Firstly,the position and angle information of target points as well as the corresponding Doppler frequency shift are obtained through Fourier transform to form point cloud data.Then,the cell averaging-constant false alarm rate(CA-CFAR)algorithm is adopted to eliminate clutter scattering points.Finally,the density-based spatial clustering of applications with noise(DBSCAN)algorithm is used to conduct clustering analysis on the filtered data,and the system is tested via a GUI interface.Experimental results show that the proposed method achieves a higher target detection rate compared with existing methods.关键词
人流量统计/毫米波雷达/均值类恒虚警检测算法/密度聚类算法/GUI界面Key words
crowd flow statistics/millimeter-wave radar/CA-CFAR algorithm/DBSCAN algorithm/GUI分类
信息技术与安全科学引用本文复制引用
孟天次,孟凡盛,翟停停..基于毫米波雷达的人流量检测方法[J].火力与指挥控制,2026,51(5):67-73,7.基金项目
安徽省高等学校自然科学基金资助项目(2024AH051653) （2024AH051653）
