Comparison of asynchronous sampling correction algorithms for frequency estimation of signals of poor power quality

Rado Lapuh, Paul Clarkson, Umberto Pogliano, Jari K. Hällström, Paul S. Wright

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

The measurement of many signal parameters using digital sampling relies on synchronization between the sampling clock and the signal under analysis. Deviations in the frequency of the measured signal from that expected can lead to significant measurement errors. Many techniques for overcoming these problems have been developed. Appraisals of the performance of these algorithms usually involve relatively benign steady-state signals, and the treatment is often heavily mathematical. This paper describes the testing of several algorithms for accurately recovering frequency and harmonic amplitude and phase information from mains-borne waveforms. This paper focuses on their practical use while avoiding abstract mathematical concepts.
Original languageEnglish
Pages (from-to)2235-2241
Number of pages7
JournalIEEE Transactions on Instrumentation and Measurement
Volume60
Issue number7
DOIs
Publication statusPublished - 2011
MoE publication typeA1 Journal article-refereed

Fingerprint

Frequency estimation
Power quality
sampling
Sampling
Measurement errors
Clocks
Synchronization
Testing
clocks
synchronism
waveforms
deviation
harmonics

Keywords

  • digital measurements
  • electric variables measurement
  • frequency estimation
  • power quality
  • signal processing

Cite this

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title = "Comparison of asynchronous sampling correction algorithms for frequency estimation of signals of poor power quality",
abstract = "The measurement of many signal parameters using digital sampling relies on synchronization between the sampling clock and the signal under analysis. Deviations in the frequency of the measured signal from that expected can lead to significant measurement errors. Many techniques for overcoming these problems have been developed. Appraisals of the performance of these algorithms usually involve relatively benign steady-state signals, and the treatment is often heavily mathematical. This paper describes the testing of several algorithms for accurately recovering frequency and harmonic amplitude and phase information from mains-borne waveforms. This paper focuses on their practical use while avoiding abstract mathematical concepts.",
keywords = "digital measurements, electric variables measurement, frequency estimation, power quality, signal processing",
author = "Rado Lapuh and Paul Clarkson and Umberto Pogliano and H{\"a}llstr{\"o}m, {Jari K.} and Wright, {Paul S.}",
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Comparison of asynchronous sampling correction algorithms for frequency estimation of signals of poor power quality. / Lapuh, Rado; Clarkson, Paul; Pogliano, Umberto; Hällström, Jari K.; Wright, Paul S.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 60, No. 7, 2011, p. 2235-2241.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - Comparison of asynchronous sampling correction algorithms for frequency estimation of signals of poor power quality

AU - Lapuh, Rado

AU - Clarkson, Paul

AU - Pogliano, Umberto

AU - Hällström, Jari K.

AU - Wright, Paul S.

PY - 2011

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AB - The measurement of many signal parameters using digital sampling relies on synchronization between the sampling clock and the signal under analysis. Deviations in the frequency of the measured signal from that expected can lead to significant measurement errors. Many techniques for overcoming these problems have been developed. Appraisals of the performance of these algorithms usually involve relatively benign steady-state signals, and the treatment is often heavily mathematical. This paper describes the testing of several algorithms for accurately recovering frequency and harmonic amplitude and phase information from mains-borne waveforms. This paper focuses on their practical use while avoiding abstract mathematical concepts.

KW - digital measurements

KW - electric variables measurement

KW - frequency estimation

KW - power quality

KW - signal processing

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DO - 10.1109/TIM.2011.2135610

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