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Spectrum Recovery Method of Adjacent Harmonic Signals with Extremely Short Sample Time

  • Nanyan Zhou
  • , Jianqiang Pan
  • , Haoyu Kuai
  • , Chenyu Zhang
  • , Liang Yu
  • , Weikang Jiang
  • Shanghai Jiao Tong University
  • College of Power and Energy Engineering, Harbin Engineering University

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

Abstract

In some engineering scenarios, detecting harmonics signals with extremely short sample time is necessary but a considerable challenge. Due to the lack of sample points, the insufficient frequency resolution can not separate different harmonic components with adjacent frequencies. In this paper, the sparsity of the harmonic spectrum is considered, and the sine (cosine) basis is adopted to represent the harmonic signal sparsely. Moreover, the group sparsity of the amplitude of the sine (cosine) basis is constrained by the block L1 norm. The simulation results show that the proposed method can effectively separate harmonic components and has high separation accuracy.

Original languageEnglish
Title of host publication2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1263-1267
Number of pages5
ISBN (Electronic)9798350339994
DOIs
StatePublished - 2023
Externally publishedYes
Event6th International Conference on Information Communication and Signal Processing, ICICSP 2023 - Xi'an, China
Duration: 23 Sep 202325 Sep 2023

Publication series

Name2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023

Conference

Conference6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Country/TerritoryChina
CityXi'an
Period23/09/2325/09/23

Keywords

  • group sparsity
  • harmonic spectrum recovery
  • sparse representation
  • the sine (cosine) basis

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