Robust on-line frequency identification for a sinusoid

Xinkai Chen; Guisheng Zhai; Toshio Fukuda

doi:10.1093/ietfec/e89-a.11.3298

Robust on-line frequency identification for a sinusoid

Xinkai Chen, Guisheng Zhai, Toshio Fukuda

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	3298-3305
Number of pages	8
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E89-A
Issue number	11
DOIs	https://doi.org/10.1093/ietfec/e89-a.11.3298
Publication status	Published - 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

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10.1093/ietfec/e89-a.11.3298

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N2 - 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.

AB - 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.

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Robust on-line frequency identification for a sinusoid

Abstract

Keywords

ASJC Scopus subject areas

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