摘要
针对一个目标回波存在多个雷达目标检测点的问题,基于毫米波雷达的传感原理、人员活动特征和聚类数据处理技术分析了雷达配置,提出了一种层级聚类优化技术,提高了检测准确率。选用AWR1443,构建了多输入多输出(MIMO)天线机制的77GHz线性调频脉冲人员活动检测毫米波雷达系统,编制层级聚类优化算法,进行了实际场景人员检测的验证实验。实验结果表明:与同类研究的结果相比,该系统可获得最好的准确率。
Aiming at the problem that there are multiple radar target points in one target echo based on the sensing principle of millimeter wave radar,human activity characteristics and clustering data processing techniquethe radar configuration is analyzed,a hierarchical aggregation optimization technique is proposed to improve the accuracy rate of detection.A 77GHz chirp human detection radar system is constructed with multi-input-multiple-output(MIMO)antenna mechanism using AWR1443.The hierarchical aggregation optimization algorithm is coded and the verification experiment of the actual scene human detection is carried out.The experimental result demonstrates that the system has high accuracy compared with the results of similar studies.
作者
张仕阳
刘成国
段开源
胡文韬
张经纬
吴志鹏
ZHANG Shiyang;LIU Chengguo;DUAN Kaiyuan;HU Wentao;ZHANG Jingwei;WU Zhipeng(School of Science,Wuhan University of Technology,Wuhan 430070,China;Hubei Engineering Research Center of RF-Microwave Technology and Application,Wuhan 430070,China;School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China)
出处
《传感器与微系统》
CSCD
2020年第7期79-82,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金国际合作重大项目(6132010600)
湖北省技术创新项目重大专项项目(2016AAA007)。
关键词
毫米波雷达
线性调频脉冲
人员检测
聚类算法
多输入多输出天线
millimeter wave radar
chirp
human detection
clustering algorithm
multiple-input-multiple-output(MIMO)antenna
