Robust On-Line Frequency Identification for a Sinusoid
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.11 pp.3298-3305
- Publication Date
- 2006/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.11.3298
- Type of Manuscript
- PAPER
- Category
- Systems and Control
Authors
Keyword
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Xinkai CHEN, Guisheng ZHAI, Toshio FUKUDA, "Robust On-Line Frequency Identification for a Sinusoid" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 11, pp. 3298-3305, November 2006, doi: 10.1093/ietfec/e89-a.11.3298.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.11.3298/_p
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@ARTICLE{e89-a_11_3298,
author={Xinkai CHEN, Guisheng ZHAI, Toshio FUKUDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust On-Line Frequency Identification for a Sinusoid},
year={2006},
volume={E89-A},
number={11},
pages={3298-3305},
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.},
keywords={},
doi={10.1093/ietfec/e89-a.11.3298},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Robust On-Line Frequency Identification for a Sinusoid
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3298
EP - 3305
AU - Xinkai CHEN
AU - Guisheng ZHAI
AU - Toshio FUKUDA
PY - 2006
DO - 10.1093/ietfec/e89-a.11.3298
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2006
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.
ER -
English
