Research on Transient Noise Analysis Method of Ship Based on AR Model

H. Zhang, Sande Wang, Tongkui Yu, Bo Zhang, Jin Lin, Yanqiong Liu
{"title":"Research on Transient Noise Analysis Method of Ship Based on AR Model","authors":"H. Zhang, Sande Wang, Tongkui Yu, Bo Zhang, Jin Lin, Yanqiong Liu","doi":"10.1109/ICVISP54630.2021.00031","DOIUrl":null,"url":null,"abstract":"With the rapid development of weapons and equipment, the noise of naval weapons and equipment such as ships and submarines in various countries has been controlled to a very low level. Because the current spectrum analysis method has limited ability to analyze and process such signals, this puts higher requirements on our target detection and recognition technology. Based on the advantages of autoregressive method in signal processing and high resolution, and compatible with parametric methods, this paper studies the application of AR model in the identification and analysis of noise sources of transient noise, and establishes a short-time high resolution spectral analysis method based on autoregressive model. And through the simulation and analysis of the known component transient noise signal and the actual transient noise test data analysis of the real ship, the method can accurately obtain the transient noise generation time and characteristic spectrum, which has strong application value in terms of engineering.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVISP54630.2021.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the rapid development of weapons and equipment, the noise of naval weapons and equipment such as ships and submarines in various countries has been controlled to a very low level. Because the current spectrum analysis method has limited ability to analyze and process such signals, this puts higher requirements on our target detection and recognition technology. Based on the advantages of autoregressive method in signal processing and high resolution, and compatible with parametric methods, this paper studies the application of AR model in the identification and analysis of noise sources of transient noise, and establishes a short-time high resolution spectral analysis method based on autoregressive model. And through the simulation and analysis of the known component transient noise signal and the actual transient noise test data analysis of the real ship, the method can accurately obtain the transient noise generation time and characteristic spectrum, which has strong application value in terms of engineering.
基于AR模型的船舶瞬态噪声分析方法研究
随着武器装备的快速发展,各国舰艇、潜艇等海军武器装备的噪声已被控制到很低的水平。由于目前的频谱分析方法对这类信号的分析和处理能力有限,这对我们的目标检测和识别技术提出了更高的要求。基于自回归方法在信号处理和高分辨率方面的优势,并与参数化方法兼容,本文研究了AR模型在瞬态噪声噪声源识别与分析中的应用,建立了基于自回归模型的短时高分辨率频谱分析方法。并通过对已知成分瞬态噪声信号的仿真分析和对实船实际瞬态噪声试验数据的分析,该方法能够准确地获得瞬态噪声的产生时间和特征谱,具有较强的工程应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信