Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise

Haitao Dong; Haiyan Wang; Xiaohong Shen; Zhongmin Huang; Shilei Ma

doi:10.1109/OCEANS.2018.8604558

Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise

Haitao Dong
, Haiyan Wang
, Xiaohong Shen
, Zhongmin Huang
, Shilei Ma

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

4 Scopus citations

Abstract

In this paper, we propose a nonlinear weak signal processing method via adaptive stochastic resonance, aiming to enhance speedboat seismoacoustic signature under low signal-to-noise (SNR) ratio. The method is a joint tuning of calculation step and frequency of signature for optimal matched output with maximal local signal-to-noise ratio enhancement. Nonlinear filter performance analysis with computer simulations is given and an experimental verification with ocean bottom seismometer (OBS) received speedboat induced seismic wave data is further processed with the proposed method, which reflect an excellent enhancement performance.

Original language	English
Title of host publication	OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538648148
DOIs	https://doi.org/10.1109/OCEANS.2018.8604558
State	Published - 7 Jan 2019
Event	OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 - Charleston, United States Duration: 22 Oct 2018 → 25 Oct 2018

Publication series

Name	OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

Conference

Conference	OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Country/Territory	United States
City	Charleston
Period	22/10/18 → 25/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptive stochastic resonance
Low signal-to-noise ratio(SNR)
Ocean bottom seismometer (OBS)
Speedboat seismoacoustic

Access to Document

10.1109/OCEANS.2018.8604558

Cite this

Dong, H., Wang, H., Shen, X., Huang, Z., & Ma, S. (2019). Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise. In OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018 Article 8604558 (OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANS.2018.8604558

@inproceedings{733329d4156f4834ab09cace42eba5e7,

title = "Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise",

abstract = "In this paper, we propose a nonlinear weak signal processing method via adaptive stochastic resonance, aiming to enhance speedboat seismoacoustic signature under low signal-to-noise (SNR) ratio. The method is a joint tuning of calculation step and frequency of signature for optimal matched output with maximal local signal-to-noise ratio enhancement. Nonlinear filter performance analysis with computer simulations is given and an experimental verification with ocean bottom seismometer (OBS) received speedboat induced seismic wave data is further processed with the proposed method, which reflect an excellent enhancement performance.",

keywords = "Adaptive stochastic resonance, Low signal-to-noise ratio(SNR), Ocean bottom seismometer (OBS), Speedboat seismoacoustic",

author = "Haitao Dong and Haiyan Wang and Xiaohong Shen and Zhongmin Huang and Shilei Ma",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 ; Conference date: 22-10-2018 Through 25-10-2018",

year = "2019",

month = jan,

day = "7",

doi = "10.1109/OCEANS.2018.8604558",

language = "英语",

series = "OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018",

}

Dong, H, Wang, H, Shen, X, Huang, Z & Ma, S 2019, Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise. in OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018., 8604558, OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018, Institute of Electrical and Electronics Engineers Inc., OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018, Charleston, United States, 22/10/18. https://doi.org/10.1109/OCEANS.2018.8604558

Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise. / Dong, Haitao; Wang, Haiyan; Shen, Xiaohong et al.
OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8604558 (OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018).

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

TY - GEN

T1 - Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise

AU - Dong, Haitao

AU - Wang, Haiyan

AU - Shen, Xiaohong

AU - Huang, Zhongmin

AU - Ma, Shilei

PY - 2019/1/7

Y1 - 2019/1/7

N2 - In this paper, we propose a nonlinear weak signal processing method via adaptive stochastic resonance, aiming to enhance speedboat seismoacoustic signature under low signal-to-noise (SNR) ratio. The method is a joint tuning of calculation step and frequency of signature for optimal matched output with maximal local signal-to-noise ratio enhancement. Nonlinear filter performance analysis with computer simulations is given and an experimental verification with ocean bottom seismometer (OBS) received speedboat induced seismic wave data is further processed with the proposed method, which reflect an excellent enhancement performance.

AB - In this paper, we propose a nonlinear weak signal processing method via adaptive stochastic resonance, aiming to enhance speedboat seismoacoustic signature under low signal-to-noise (SNR) ratio. The method is a joint tuning of calculation step and frequency of signature for optimal matched output with maximal local signal-to-noise ratio enhancement. Nonlinear filter performance analysis with computer simulations is given and an experimental verification with ocean bottom seismometer (OBS) received speedboat induced seismic wave data is further processed with the proposed method, which reflect an excellent enhancement performance.

KW - Adaptive stochastic resonance

KW - Low signal-to-noise ratio(SNR)

KW - Ocean bottom seismometer (OBS)

KW - Speedboat seismoacoustic

UR - https://www.scopus.com/pages/publications/85061831527

U2 - 10.1109/OCEANS.2018.8604558

DO - 10.1109/OCEANS.2018.8604558

M3 - 会议稿件

AN - SCOPUS:85061831527

T3 - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

BT - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018

Y2 - 22 October 2018 through 25 October 2018

ER -

Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this