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Article
Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother
EURASIP Journal on Advances in Signal Processing
  • Sunghan Kim, Portland State University
  • Anindya S. Paul, Oregon Health & Science University
  • Eric A. Wan, Oregon Health & Science University
  • James McNames, Portland State University
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 Information
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