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X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition

Pulsars, especially X-ray pulsars detectable for small-size detectors, are highly accurate natural clocks suggesting potential applications such as interplanetary navigation control. Due to various complex cosmic background noise, the original pulsar signals, namely photon sequences, observed by det...

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Detalles Bibliográficos
Autores principales: Chen, Qiang, Zhao, Yong, Yan, Lixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465729/
https://www.ncbi.nlm.nih.gov/pubmed/34573805
http://dx.doi.org/10.3390/e23091181
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author Chen, Qiang
Zhao, Yong
Yan, Lixia
author_facet Chen, Qiang
Zhao, Yong
Yan, Lixia
author_sort Chen, Qiang
collection PubMed
description Pulsars, especially X-ray pulsars detectable for small-size detectors, are highly accurate natural clocks suggesting potential applications such as interplanetary navigation control. Due to various complex cosmic background noise, the original pulsar signals, namely photon sequences, observed by detectors have low signal-to-noise ratios (SNRs) that obstruct the practical uses. This paper presents the pulsar denoising strategy developed based on the variational mode decomposition (VMD) approach. It is actually the initial work of our interplanetary navigation control research. The original pulsar signals are decomposed into intrinsic mode functions (IMFs) via VMD, by which the Gaussian noise contaminating the pulsar signals can be attenuated because of the filtering effect during signal decomposition and reconstruction. Comparison experiments based on both simulation and HEASARC-archived X-ray pulsar signals are carried out to validate the effectiveness of the proposed pulsar denoising strategy.
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spelling pubmed-84657292021-09-27 X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition Chen, Qiang Zhao, Yong Yan, Lixia Entropy (Basel) Article Pulsars, especially X-ray pulsars detectable for small-size detectors, are highly accurate natural clocks suggesting potential applications such as interplanetary navigation control. Due to various complex cosmic background noise, the original pulsar signals, namely photon sequences, observed by detectors have low signal-to-noise ratios (SNRs) that obstruct the practical uses. This paper presents the pulsar denoising strategy developed based on the variational mode decomposition (VMD) approach. It is actually the initial work of our interplanetary navigation control research. The original pulsar signals are decomposed into intrinsic mode functions (IMFs) via VMD, by which the Gaussian noise contaminating the pulsar signals can be attenuated because of the filtering effect during signal decomposition and reconstruction. Comparison experiments based on both simulation and HEASARC-archived X-ray pulsar signals are carried out to validate the effectiveness of the proposed pulsar denoising strategy. MDPI 2021-09-08 /pmc/articles/PMC8465729/ /pubmed/34573805 http://dx.doi.org/10.3390/e23091181 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Qiang
Zhao, Yong
Yan, Lixia
X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title_full X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title_fullStr X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title_full_unstemmed X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title_short X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition
title_sort x-ray pulsar signal denoising based on variational mode decomposition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465729/
https://www.ncbi.nlm.nih.gov/pubmed/34573805
http://dx.doi.org/10.3390/e23091181
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