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  • 标题:ONLINE ESTIMATION OF TIME-VARYING FREQUENCY OF A SINUSOIDAL SIGNAL ⁎
  • 本地全文:下载
  • 作者:Le Van Tuan ; Marina Korotina ; Alexey Bobtsov
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:29
  • 页码:245-250
  • DOI:10.1016/j.ifacol.2019.12.657
  • 语种:English
  • 出版社:Elsevier
  • 摘要:We consider the problem of estimation of a (linearly) time-varying frequency of a sinusoidal signal with unknown phase and magnitude. Such a problem may arise in control design for optical telescopes that makes it interesting from the practical point of view. The existing methods typically use unbounded functions of time that, being multiplying by the input signal, may yield significant noise amplification and poor estimation performance. In contrast, we present a novel approach to the estimation of the linearly varying frequency based on iterative filtering yielding simple linear regression model with a scalar parameter. Illustrative numerical simulations support the theoretical results. We also present a comparison with other known methods.
  • 关键词:Keywordsdynamic extensionmixingpersistence excitationparameter estimationleast squares
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