跳到主要导航 跳到搜索 跳到主要内容

Application of extended Kalman filter to dynamic tracking problem in R-LATs

  • Wenjun Su
  • , Kang Jia
  • , Jun Hong
  • , Zhigang Liu
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Many applications requiring dynamic tracking have been needed in large-scale. As a novel distributed measurement system, RLATs is presented and the key techniques are shown in detail. Because of the intrinsical drawback of distributed measurement systems, the Extend Kalman Filter approach is introduced to eliminate the tracking error and improve the tracking accuracy. State space model of RLATs are formulated, and an analytical expression for the linearized measurement function is derived. Comparison with the method of LS simulated data which presented a considerable improvement and stability in accuracy and the proposed EKF method while target’s moving speed is less than 100 mm/s.

源语言英语
主期刊名Advanced Manufacturing
出版商American Society of Mechanical Engineers (ASME)
ISBN(电子版)9780791859384
DOI
出版状态已出版 - 2019
活动ASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019 - Salt Lake City, 美国
期限: 11 11月 201914 11月 2019

出版系列

姓名ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
2B-2019

会议

会议ASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019
国家/地区美国
Salt Lake City
时期11/11/1914/11/19

学术指纹

探究 'Application of extended Kalman filter to dynamic tracking problem in R-LATs' 的科研主题。它们共同构成独一无二的指纹。

引用此