Adaptive frequency estimation with low sampling rates based on robust chinese remainder theorem and IIR notch filter

Hong Liang*, Xiaowei Li, Xiang Gen Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, based on an adaptive DR notch filter and a robust Chinese remainder theorem (CRT), we propose a frequency estimation algorithm from multiple undersampled signals. Our proposed algorithm can significantly reduce the sampling rates and provide more accurate estimates than the method based on adaptive IIR notch filter and sampling rates above the Nyquist rates does. We then present simulation results to verify the performance of our proposed algorithm for both stationary and nonstationary signals.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages2999-3004
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Adaptive IIR notch filter
  • Chinese remainder theorem (CRT) frequency estimation
  • Robust CRT
  • Undersampttng

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