Robust on-line frequency identification for a sinusoid

Xinkai Chen, Guisheng Zhai, Toshio Fukuda

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper discusses the on-line frequency identification problem for a measured sinusoidal signal by using the adaptive method and filter theory. The proposed method is based on an identity between the sinusoidal signal and its second order derivative. For a set of chosen parameters, the proposed method is robust to the initial phase, the amplitude, and the frequency in a wide range. The convergence rate can be adjusted by the chosen parameters. The estimation error mainly depends on the frequency of the sinusoid, the measurement noise and a key design parameter.

Original languageEnglish
Pages (from-to)3298-3305
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE89-A
Issue number11
DOIs
Publication statusPublished - 2006 Nov

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Error analysis
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Keywords

  • Adaptive method
  • Filter theory
  • On-line frequency identification
  • Sinusoidal signal

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

Cite this

Robust on-line frequency identification for a sinusoid. / Chen, Xinkai; Zhai, Guisheng; Fukuda, Toshio.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E89-A, No. 11, 11.2006, p. 3298-3305.

Research output: Contribution to journalArticle

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