基于总体最小二乘的多麦克风阵列狙击手定位算法
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  • 英文篇名:Sniper Localization Algorithm Based on Total Least Square with Multiple Microphone Arrays
  • 作者:刘颖 ; 胡瑞超
  • 英文作者:LIU Ying;HU Rui-chao;Department of Information Engineering,Engineering University of CAPF;
  • 关键词:狙击手定位 ; 总体最小二乘 ; 枪口激波 ; 麦克风阵列
  • 英文关键词:sniper localization;;total least squares;;muzzle blast;;microphone array
  • 中文刊名:KXJS
  • 英文刊名:Science Technology and Engineering
  • 机构:武警工程大学信息工程系;
  • 出版日期:2018-02-28
  • 出版单位:科学技术与工程
  • 年:2018
  • 期:v.18;No.439
  • 基金:国家自然科学基金(60940007);国家自然科学基金青年基金(61302051)资助
  • 语种:中文;
  • 页:KXJS201806020
  • 页数:4
  • CN:06
  • ISSN:11-4688/T
  • 分类号:143-146
摘要
针对战场狙击手威胁日益增加的严峻现实,提出了一种基于总体最小二乘的多麦克风阵列狙击手定位算法。利用空间上随意摆放的多个线性麦克风阵列,通过枪口激波到达各阵列阵元的时延差及方位角,利用总体最小二乘算法对狙击手位置进行估计;并同时可以得到狙击手的射击时间及环境声速。通过仿真证明算法具有较高的测量精度。
        Due to the grim reality of the increasing threat of the battlefield sniper,a sniper localization algorithm based on total least square( TLS) is presented by using multiple microphone arrays. Multiple linear microphone arrays are placed randomly in space. According to the time delay of arrival( TDOA) and bearing angle from gunshot muzzle blast to microphone arrays,TLS algorithm is used to estimate sniper location,gunshot time and sound velocity. Simulation shows that the algorithm has a high accuracy,and increases the measurement range.
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