SIA OpenIR  > 海洋机器人前沿技术中心
Self-Noise Spectrum Analysis and Joint Noise Filtering for the Sea-Wing Underwater Glider Based on Experimental Data
Sun J(孙洁)1,2,3; Wang J(王瑾)1,2; Shi, Yang4; Hu F(胡峰)1,2; Wang X(王旭)1,2; Yu JC(俞建成)1,2; Zhang AQ(张艾群)1,2
Department海洋机器人前沿技术中心
Source PublicationIEEE Access
ISSN2169-3536
2020
Volume8Pages:42960-42970
Indexed BySCI ; EI
EI Accession number20201308343146
WOS IDWOS:000524706500013
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China under Grant 61673370, Grant U1709202, Grant 41906160, Grant 41706112, Grant 51809256, and Grant 61821005 ; National Key Research and Development Project under Grant 2016YFC0301201 ; State Key Laboratory of Robotics at Shenyang Institute of Automation under Grant 2020-Z06, Grant 2014-Z02, Grant 2015-Z09, and Grant 2017-Z13.
KeywordUnderwater glider noise filtering self-noise characteristics hydrodynamic flow noise mechanical noise experimental data processing
Abstract

Using underwater gliders to measure underwater acoustic signals is a new measurement method emerging with the development of platform technology. Although underwater gliders are relatively quiet due to the absence of propellers, vehicle noise generated during motion is still inevitable, which will affect the recorded acoustic data. In this paper, we analyze the self-noise characteristics of underwater gliders based on simulated data by CFD technology for the hydrodynamic flow noise and experimental data acquired in an anechoic-water-tank experiment for the mechanical noise. The mechanical noise covers noises generated by buoyancy regulating (increasing and reducing), pitch regulating, rudder regulating and CTD pump working. According to the analysis results, the flow noise and CTD pump working noise could be ignored for the experimental data processing of sea trials. An experiment was conducted with an acoustic Sea-Wing underwater glider in the South China Sea from July 31 to September 4, 2018. Two kinds of noisy data were recorded, including target signals and ambient noise. All the target signals could be recognized after convolution filtering, except during the buoyancy regulating periods due to the high noise spectrum level. For the recorded ambient noise, in addition to the buoyancy regulating noise, the rudder and pitch regulating noises affected the recorded data. Then based on the acquired knowledge, a joint convolution filtering and thresholding method is proposed to remove the rudder and pitch noises from recorded noisy data. Kernels extracted from data acquired in the anechoic-water-tank experiment are used in the convolution filtering to localize each regulating action and energy thresholding is adopted to determine the duration of each regulation. All the rudder and pitch noises are removed from the recorded noisy data.

Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS KeywordAMBIENT NOISE ; OCEAN ; UNCERTAINTY ; FIELD
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectNational Natural Science Foundation of China[61673370] ; National Natural Science Foundation of China[U1709202] ; National Natural Science Foundation of China[41906160] ; National Natural Science Foundation of China[41706112] ; National Natural Science Foundation of China[51809256] ; National Natural Science Foundation of China[61821005] ; National Key Research and Development Project[2016YFC0301201] ; State Key Laboratory of Robotics at Shenyang Institute of Automation[2020-Z06] ; State Key Laboratory of Robotics at Shenyang Institute of Automation[2014-Z02] ; State Key Laboratory of Robotics at Shenyang Institute of Automation[2015-Z09] ; State Key Laboratory of Robotics at Shenyang Institute of Automation[2017-Z13]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26640
Collection海洋机器人前沿技术中心
Corresponding AuthorYu JC(俞建成)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
Recommended Citation
GB/T 7714
Sun J,Wang J,Shi, Yang,et al. Self-Noise Spectrum Analysis and Joint Noise Filtering for the Sea-Wing Underwater Glider Based on Experimental Data[J]. IEEE Access,2020,8:42960-42970.
APA Sun J.,Wang J.,Shi, Yang.,Hu F.,Wang X.,...&Zhang AQ.(2020).Self-Noise Spectrum Analysis and Joint Noise Filtering for the Sea-Wing Underwater Glider Based on Experimental Data.IEEE Access,8,42960-42970.
MLA Sun J,et al."Self-Noise Spectrum Analysis and Joint Noise Filtering for the Sea-Wing Underwater Glider Based on Experimental Data".IEEE Access 8(2020):42960-42970.
Files in This Item:
File Name/Size DocType Version Access License
Self-Noise Spectrum (4383KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sun J(孙洁)]'s Articles
[Wang J(王瑾)]'s Articles
[Shi, Yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sun J(孙洁)]'s Articles
[Wang J(王瑾)]'s Articles
[Shi, Yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sun J(孙洁)]'s Articles
[Wang J(王瑾)]'s Articles
[Shi, Yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Self-Noise Spectrum Analysis and Joint Noise Filtering for the Sea-Wing Underwater Glider Based on Experimental Data.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.