IEICE TRANSACTIONS on Fundamentals
Parallel Implementation of a Kalman-Based Sinusoidal Estimator
Summary :
Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.12 pp.3174-3176
- Publication Date
- 2001/12/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
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Kiyoshi NISHIYAMA, "Parallel Implementation of a Kalman-Based Sinusoidal Estimator" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 12, pp. 3174-3176, December 2001, doi: .
Abstract: Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_12_3174/_p
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@ARTICLE{e84-a_12_3174,
author={Kiyoshi NISHIYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Parallel Implementation of a Kalman-Based Sinusoidal Estimator},
year={2001},
volume={E84-A},
number={12},
pages={3174-3176},
abstract={Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Parallel Implementation of a Kalman-Based Sinusoidal Estimator
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3174
EP - 3176
AU - Kiyoshi NISHIYAMA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2001
AB - Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.
ER -
English
