Robust on-line frequency identification for a sinusoid

Xinkai Chen, Guisheng Zhai, Toshio Fukuda

Research output: Contribution to journalArticlepeer-review

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

Keywords

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

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Robust on-line frequency identification for a sinusoid'. Together they form a unique fingerprint.

Cite this