基于椭圆交叉算法的人体目标定位
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  • 英文篇名:Human Target Positioning Based on Elliptic Cross Algorithm
  • 作者:吴斌 ; 魏兵 ; 弓明豪 ; 郭立新
  • 英文作者:WU Bin;WEI Bing;GONG Ming-hao;GUO Li-xin;School of Physics and Optoelectronic Engineering,Xidian University;Collaborative Innovation Center of Information Sensing and Understanding,Xidian University;
  • 关键词:超宽带雷达 ; 信号到达时间 ; 定位 ; 椭圆交叉算法
  • 英文关键词:ultrawideband radar;;time difference of arrival(TDOA);;positioning;;elliptic cross algorithm
  • 中文刊名:YYWL
  • 英文刊名:Modern Applied Physics
  • 机构:西安电子科技大学物理与光电工程学院;西安电子科技大学信息感知技术协同创新中心;
  • 出版日期:2019-06-26
  • 出版单位:现代应用物理
  • 年:2019
  • 期:v.10
  • 基金:强脉冲辐射环境模拟与效应国家重点实验室2107年开放课题资助项目(SKLIPR1705)
  • 语种:中文;
  • 页:YYWL201902007
  • 页数:5
  • CN:02
  • ISSN:61-1491/O4
  • 分类号:34-38
摘要
介绍了测量所用的时域超宽带雷达的结构和工作原理,基于椭圆交叉算法,使用脉冲对消法从雷达的时域回波中提取出两个接收天线的信号到达时间,同时消除了背景杂波和天线耦合信号对定位的影响,实现了时域超宽带雷达对室内人体目标的定位。室内定位的实际测试结果表明,该方法可靠性好,定位精度较高,抗干扰能力较强。
        In this paper, the structure and working principle of time domain ultrawideband(UWB) radar used in measurement are introduced. Based on elliptic cross algorithm, the signal time difference of arrival(TDOA) of two receiving antennas is extracted from UWB radar time domain echoes by pulse cancellation method, and the influence of background clutter and antenna coupling signal on positioning is eliminated to realize the location of indoor human targets by time domain UWB radar. The actual test results of indoor positioning show that the method has good reliability, high positioning accuracy and good anti-interference ability.
引文
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