A cosamp-based implementation of three-phase harmonic signal reconstruction and denoising

In view of the problems of susceptibility to noise interference in harmonic detection and the accuracy of three-phase harmonic signal reconstruction in harmonics, a three-phase harmonic signal detection method based on the cosamp algorithm is proposed. The method is to set up a three-phase harmonic signal in Simulink, and then use the Fast Fourier Transform (FFT) to transform it into the frequency domain, observe the frequency domain of the harmonic signal, and thereby determine the sparsity of the signal. On this basis, the compressed sampling matching tracking (Cosamp) technique is used to denoise the harmonic signal in the frequency domain and reconstruct the three-phase harmonic signal. Then, the Fast Fourier Inverse Transform is used to restore the denoised frequency domain harmonic signal and the reconstructed three-phase harmonic frequency domain signal in the time domain. Finally, through simulation research, it is proved that the Cosamp algorithm has a very good effect on denoising the original signal and reconstructing the three-phase harmonic signal.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928294
Primary Topic
Image and Signal Denoising Methods
Type
article
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article

A cosamp-based implementation of three-phase harmonic signal reconstruction and denoising

Jian Wei You, Zhi Ze-ying, Guoyan Zhang, Lang Wu
Image and Signal Denoising Methods
article

A cosamp-based implementation of three-phase harmonic signal reconstruction and denoising

Jian Wei You, Zhi Ze-ying, Guoyan Zhang, Lang Wu
article en

Abstract

In view of the problems of susceptibility to noise interference in harmonic detection and the accuracy of three-phase harmonic signal reconstruction in harmonics, a three-phase harmonic signal detection method based on the cosamp algorithm is proposed. The method is to set up a three-phase harmonic signal in Simulink, and then use the Fast Fourier Transform (FFT) to transform it into the frequency domain, observe the frequency domain of the harmonic signal, and thereby determine the sparsity of the signal. On this basis, the compressed sampling matching tracking (Cosamp) technique is used to denoise the harmonic signal in the frequency domain and reconstruct the three-phase harmonic signal. Then, the Fast Fourier Inverse Transform is used to restore the denoised frequency domain harmonic signal and the reconstructed three-phase harmonic frequency domain signal in the time domain. Finally, through simulation research, it is proved that the Cosamp algorithm has a very good effect on denoising the original signal and reconstructing the three-phase harmonic signal.

Taiyuan University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 71%
Image and Signal Denoising Methods
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A cosamp-based implementation of three-phase harmonic signal reconstruction and denoising — Jian Wei You, Zhi Ze-ying, et al. · (2024) | TGRS Research Map | TGRS