Harmonic analysis based on blackman-harris self-multiplication window

Xuming Wang, Kejun Lei*, Xi Yang, Minghao Li, Xiangming Wang

*Corresponding author for this work

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

10 Scopus citations

Abstract

Asynchronous sampling and non-periodic truncation cause spectral leakage during Fast Fourier transform (FFT) analysis, resulting in low accuracy of harmonic parameter estimation. The windowed interpolation algorithm can effectively suppress the negative impact of the spectrum leakage and fence effects in the parameter estimation process. In this paper, a new cosine window with better side-lobe performance than some classical windows was introduced via second-order self-multiplication of the Blackman-Harris window. Based on this, the estimation algorithms for the frequency, amplitude and phase of the harmonics were also proposed by using triple-spectrum-line interpolation method. The simulation results verify effectiveness of the new method.

Original languageEnglish
Title of host publicationProceedings - 2020 5th Asia Conference on Power and Electrical Engineering, ACPEE 2020
EditorsTek-Tjing Lie, Youbo Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2165-2169
Number of pages5
ISBN (Electronic)9781728152813
DOIs
StatePublished - Jun 2020
Externally publishedYes
Event5th Asia Conference on Power and Electrical Engineering, ACPEE 2020 - Chengdu, China
Duration: 4 Jun 20207 Jun 2020

Publication series

NameProceedings - 2020 5th Asia Conference on Power and Electrical Engineering, ACPEE 2020

Conference

Conference5th Asia Conference on Power and Electrical Engineering, ACPEE 2020
Country/TerritoryChina
CityChengdu
Period4/06/207/06/20

Keywords

  • Blackman-Harris self-multiplication window
  • Fast Fourier Transform (FFT)
  • Harmonic analysis
  • Triple-spectrum-line interpolation

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