Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

Yong Zhao; Yingmin Jia; Qiang Chen

doi:10.1007/978-981-15-8450-3_45

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

Yong Zhao
, Yingmin Jia^*
, Qiang Chen

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

Original language	English
Title of host publication	Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I
Editors	Yingmin Jia, Weicun Zhang, Yongling Fu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	419-427
Number of pages	9
ISBN (Print)	9789811584497
DOIs	https://doi.org/10.1007/978-981-15-8450-3_45
State	Published - 2021
Event	Chinese Intelligent Systems Conference, CISC 2020 - Shenzhen, China Duration: 24 Oct 2020 → 25 Oct 2020

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	705 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Chinese Intelligent Systems Conference, CISC 2020
Country/Territory	China
City	Shenzhen
Period	24/10/20 → 25/10/20

Keywords

Denoising
Variational mode decomposition
X-ray pulsar

Access to Document

10.1007/978-981-15-8450-3_45

Cite this

Zhao, Y., Jia, Y., & Chen, Q. (2021). Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. In Y. Jia, W. Zhang, & Y. Fu (Eds.), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I (pp. 419-427). (Lecture Notes in Electrical Engineering; Vol. 705 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8450-3_45

@inproceedings{cc3cf119bcc54c0cb982bec66fdb12b4,

title = "Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition",

abstract = "X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.",

keywords = "Denoising, Variational mode decomposition, X-ray pulsar",

author = "Yong Zhao and Yingmin Jia and Qiang Chen",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2020 ; Conference date: 24-10-2020 Through 25-10-2020",

year = "2021",

doi = "10.1007/978-981-15-8450-3\_45",

language = "英语",

isbn = "9789811584497",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "419--427",

editor = "Yingmin Jia and Weicun Zhang and Yongling Fu",

booktitle = "Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I",

address = "德国",

}

Zhao, Y, Jia, Y & Chen, Q 2021, Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. in Y Jia, W Zhang & Y Fu (eds), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I. Lecture Notes in Electrical Engineering, vol. 705 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 419-427, Chinese Intelligent Systems Conference, CISC 2020, Shenzhen, China, 24/10/20. https://doi.org/10.1007/978-981-15-8450-3_45

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition. / Zhao, Yong; Jia, Yingmin; Chen, Qiang.
Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I. ed. / Yingmin Jia; Weicun Zhang; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. p. 419-427 (Lecture Notes in Electrical Engineering; Vol. 705 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhao, Yong

AU - Jia, Yingmin

AU - Chen, Qiang

PY - 2021

Y1 - 2021

N2 - X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

AB - X-ray pulsar navigation as a new type of autonomous navigation has very important application prospects and research value. The pulsar signal is a non-stationary signal with low signal-to-noise ratio, so it needs to be denoised. In this paper, a denoising method for X-ray pulsars based on variational mode decomposition is proposed. Simulation results show that the proposed method can improve the signal-to-noise ratio better than existing methods based on wavelet transform and empirical mode decomposition.

KW - Denoising

KW - Variational mode decomposition

KW - X-ray pulsar

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DO - 10.1007/978-981-15-8450-3_45

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A2 - Jia, Yingmin

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PB - Springer Science and Business Media Deutschland GmbH

T2 - Chinese Intelligent Systems Conference, CISC 2020

Y2 - 24 October 2020 through 25 October 2020

ER -

Denoising of X-Ray Pulsar Signal Based on Variational Mode Decomposition

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