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文章基本信息

  • 标题:Target Tracking of a Linear Time Invariant System Under Irregular Sampling
  • 本地全文:下载
  • 作者:Jin Xue-bo ; Du Jing-jing ; Bao Jia
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2012
  • 卷号:9
  • DOI:10.5772/54471
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:Due to event-triggered sampling in a system, or maybe with the aim of reducing data storage, tracking many applications will encounter irregular sampling time. By calculating the matrix exponential using an inverse Laplace transform, this paper transforms the irregular sampling tracking problem to the problem of tracking with time-varying parameters of a system. Using the common Kalman filter, the developed method is used to track a target for the simulated trajectory and video tracking. The results of simulation experiments have shown that it can obtain good estimation performance even at a very high irregular rate of measurement sampling time.
  • 关键词:Target Tracking; Irregular Sampling Time; Kalman Filter; Irregular Rate; State Estimation
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