Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother
<p/> <p>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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2010/467150 |
_version_ | 1819066073343852544 |
---|---|
author | Kim Sunghan McNames James Paul AnindyaS Wan EricA |
author_facet | Kim Sunghan McNames James Paul AnindyaS Wan EricA |
author_sort | Kim Sunghan |
collection | DOAJ |
description | <p/> <p>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.</p> |
first_indexed | 2024-12-21T15:56:33Z |
format | Article |
id | doaj.art-d8e671362b2e40e2851dd5ad85220d62 |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-12-21T15:56:33Z |
publishDate | 2010-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-d8e671362b2e40e2851dd5ad85220d622022-12-21T18:58:05ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-0120101467150Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman SmootherKim SunghanMcNames JamesPaul AnindyaSWan EricA<p/> <p>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.</p>http://asp.eurasipjournals.com/content/2010/467150 |
spellingShingle | Kim Sunghan McNames James Paul AnindyaS Wan EricA Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother EURASIP Journal on Advances in Signal Processing |
title | Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother |
title_full | Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother |
title_fullStr | Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother |
title_full_unstemmed | Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother |
title_short | Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother |
title_sort | multiharmonic frequency tracking method using the sigma point kalman smoother |
url | http://asp.eurasipjournals.com/content/2010/467150 |
work_keys_str_mv | AT kimsunghan multiharmonicfrequencytrackingmethodusingthesigmapointkalmansmoother AT mcnamesjames multiharmonicfrequencytrackingmethodusingthesigmapointkalmansmoother AT paulanindyas multiharmonicfrequencytrackingmethodusingthesigmapointkalmansmoother AT wanerica multiharmonicfrequencytrackingmethodusingthesigmapointkalmansmoother |