Sponsor
This work was supported in part by the Thrasher Research Fund.
Published In
EURASIP Journal on Advances in Signal Processing
Document Type
Article
Publication Date
3-1-2010
Subjects
Kalman filtering, Frequencies of oscillating systems -- Measurement, Modulation (Electronics) -- Mathematical models
Abstract
Several groups have proposed the state-space approach to tracking time-varying frequencies of multiharmonic quasiperiodic signals. The extended Kalman filter/smoother (EKF/EKS) is one of the common frequency tracking approaches seen in the literature. We introduce a multiharmonic frequency tracker based on the forward-backward statistical linearized Sigma-Point Kalman smoother (FBSL-SPKS) and compare its performance to that of the extended Kalman smoother (EKS). In all cases the FBSL-SPKS tracker outperformed the EKS tracker over a wide range of signal-to-noise (SNR) ratios. We also demonstrate its superior performance on real signals.
Rights
Copyright © 2010 Sunghan Kim et al.
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
10.1155/2010/467150
Persistent Identifier
http://archives.pdx.edu/ds/psu/7640
Citation Details
Kim Sunghan, Anindya S. Paul, Eric A. Wan, James McNames, "Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother," EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 467150, 13 pages