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FMCW雷达的人流量检测算法的研究

Research on Human Flow Detection Algorithm Based on FMCW Radar

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【作者】 陈忠辉赖黄政兰金伙魏宏安

【Author】 Chen Zhonghui;Lai Huangzheng;Lan Jinhuo;Wei Hongan;College of Physics and Information Engineering,Fuzhou University;

【机构】 福州大学物理与信息工程学院

【摘要】 人流量实时检测可以为大数据分析提供数据来源,使决策规划更具科学性,为保障社会安全与提高经济发展提供帮助。目前市场上的人流量检测方法分为接触式与非接触式检测,存在设备昂贵、错检率较高等问题。本文将雷达采集和处理后得到的数据经过运动方向判决以及人流量计算,再把结果在上位机的可视化界面中实时显示,设计实现了基于调频连续波雷达的人流量检测系统。本文介绍了调频连续波雷达的测量原理、检测算法设计、可视化界面以及系统硬件组成,最后通过测试证明本文设计的算法行之有效,系统性能满足需求,具有推广价值。

【Abstract】 Pedestrian flow real time detection offers data sources for big data analysis,which makes decision-making planning more scientific,and improves social security and economic development.There are contact and non-contact human flow detection methods in the market,which have problems of expensive equipment and high error detection rate etc.The data collected and processed by the radar are used to determine the motion direction and calculate the human flow,and the results are displayed in the visual upper computer interface in real time,which realizes the human flow detection system based on frequency modulated continuous wave(FMCW)radar.The measurement principle,detection algorithm design,visual interface and system hardware composition of FMCW radar are introduced,and the experiment results show that the algorithm is effective,qualified for the system performance needs,and valuable for promotion.

  • 【文献出处】 单片机与嵌入式系统应用 ,Microcontrollers & Embedded Systems , 编辑部邮箱 ,2020年10期
  • 【分类号】TN957.51
  • 【被引频次】4
  • 【下载频次】220
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