Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS

Yunxi Yang; Lin Zhang; Wei Cheng; Ning Yang

doi:10.1007/978-981-15-4163-6_7

Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS

Yunxi Yang^*
, Lin Zhang
, Wei Cheng
, Ning Yang

^*Corresponding author for this work

Beihang University
Shandong Institute of Space Electronic Technology

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

Abstract

In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.

Original language	English
Title of host publication	Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019
Editors	Yue Wang, Lexi Xu, Meixia Fu, Jiaqi Zou
Publisher	Springer
Pages	54-61
Number of pages	8
ISBN (Print)	9789811541629
DOIs	https://doi.org/10.1007/978-981-15-4163-6_7
State	Published - 2020
Event	6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019 - Guiyang, China Duration: 13 Aug 2019 → 16 Aug 2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	628 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019
Country/Territory	China
City	Guiyang
Period	13/08/19 → 16/08/19

Keywords

Identical weak grating
Improved CEEMDAN
Multiscale morphological filter
Temporary predictability

Access to Document

10.1007/978-981-15-4163-6_7

Cite this

Yang, Y., Zhang, L., Cheng, W., & Yang, N. (2020). Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS. In Y. Wang, L. Xu, M. Fu, & J. Zou (Eds.), Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019 (pp. 54-61). (Lecture Notes in Electrical Engineering; Vol. 628 LNEE). Springer. https://doi.org/10.1007/978-981-15-4163-6_7

Yang, Yunxi ; Zhang, Lin ; Cheng, Wei et al. / Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS. Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019. editor / Yue Wang ; Lexi Xu ; Meixia Fu ; Jiaqi Zou. Springer, 2020. pp. 54-61 (Lecture Notes in Electrical Engineering).

@inproceedings{ea6c4660659449f19edfb452cef684b7,

title = "Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS",

abstract = "In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.",

keywords = "Identical weak grating, Improved CEEMDAN, Multiscale morphological filter, Temporary predictability",

author = "Yunxi Yang and Lin Zhang and Wei Cheng and Ning Yang",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019 ; Conference date: 13-08-2019 Through 16-08-2019",

year = "2020",

doi = "10.1007/978-981-15-4163-6\_7",

language = "英语",

isbn = "9789811541629",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

pages = "54--61",

editor = "Yue Wang and Lexi Xu and Meixia Fu and Jiaqi Zou",

booktitle = "Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019",

address = "德国",

}

Yang, Y, Zhang, L , Cheng, W & Yang, N 2020, Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS. in Y Wang, L Xu, M Fu & J Zou (eds), Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019. Lecture Notes in Electrical Engineering, vol. 628 LNEE, Springer, pp. 54-61, 6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019, Guiyang, China, 13/08/19. https://doi.org/10.1007/978-981-15-4163-6_7

Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS. / Yang, Yunxi; Zhang, Lin ; Cheng, Wei et al.
Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019. ed. / Yue Wang; Lexi Xu; Meixia Fu; Jiaqi Zou. Springer, 2020. p. 54-61 (Lecture Notes in Electrical Engineering; Vol. 628 LNEE).

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

TY - GEN

T1 - Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS

AU - Yang, Yunxi

AU - Zhang, Lin

AU - Cheng, Wei

AU - Yang, Ning

PY - 2020

Y1 - 2020

N2 - In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.

AB - In order to extract single-channel identical weak grating signal which is obliterated by noise during spacecraft ground test, a comprehensive extraction algorithm of the weak grating signal is proposed based on multiscale morphological filter (MMF), improved compete ensemble EMD with adaptive noise (improved CEEMDAN) and based on temporal predictability BSS (TPBSS). Firstly, the MMF is used to improve the signal-to-noise ratio, then the improved CEEMDAN is used to decompose the signals in multi-dimension. Meanwhile, the temporal predictability criterion is introduced to reduce the decomposition dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.

KW - Identical weak grating

KW - Improved CEEMDAN

KW - Multiscale morphological filter

KW - Temporary predictability

UR - https://www.scopus.com/pages/publications/85085195150

U2 - 10.1007/978-981-15-4163-6_7

DO - 10.1007/978-981-15-4163-6_7

M3 - 会议稿件

AN - SCOPUS:85085195150

SN - 9789811541629

T3 - Lecture Notes in Electrical Engineering

SP - 54

EP - 61

BT - Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019

A2 - Wang, Yue

A2 - Xu, Lexi

A2 - Fu, Meixia

A2 - Zou, Jiaqi

PB - Springer

T2 - 6th Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019

Y2 - 13 August 2019 through 16 August 2019

ER -

Yang Y, Zhang L , Cheng W, Yang N. Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS. In Wang Y, Xu L, Fu M, Zou J, editors, Signal and Information Processing, Networking and Computers - Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2019. Springer. 2020. p. 54-61. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-4163-6_7

Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSS

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Keywords

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