基于方位估计方差的水下运动源检测

Shao-hua Chen
{"title":"基于方位估计方差的水下运动源检测","authors":"Shao-hua Chen","doi":"10.1109/OCEANSAP.2016.7485556","DOIUrl":null,"url":null,"abstract":"By taking advantage of the difference in spatial distribution between underwater sound source and ocean ambient noise, a detector based on bearing estimation variance is proposed. The time delay estimation method is adopted to estimate the bearing of the source, and the test statistics is deduced to evaluate the performance of the detector. The results show that its performance is far superior to the widely used broadband energy detector. Data processing results in sea trials show that the proposed detector can detect a sound source much earlier than the energy detector.","PeriodicalId":382688,"journal":{"name":"OCEANS 2016 - Shanghai","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Underwater moving source detection based on bearing estimation variance\",\"authors\":\"Shao-hua Chen\",\"doi\":\"10.1109/OCEANSAP.2016.7485556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By taking advantage of the difference in spatial distribution between underwater sound source and ocean ambient noise, a detector based on bearing estimation variance is proposed. The time delay estimation method is adopted to estimate the bearing of the source, and the test statistics is deduced to evaluate the performance of the detector. The results show that its performance is far superior to the widely used broadband energy detector. Data processing results in sea trials show that the proposed detector can detect a sound source much earlier than the energy detector.\",\"PeriodicalId\":382688,\"journal\":{\"name\":\"OCEANS 2016 - Shanghai\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 2016 - Shanghai\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSAP.2016.7485556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2016 - Shanghai","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSAP.2016.7485556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

利用水下声源与海洋环境噪声在空间分布上的差异,提出了一种基于方位估计方差的探测方法。采用时延估计方法估计源的方位,并推导出测试统计量来评估检测器的性能。结果表明,其性能远远优于目前广泛应用的宽带能量探测器。海试数据处理结果表明,该探测器比能量探测器能更早地探测到声源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underwater moving source detection based on bearing estimation variance
By taking advantage of the difference in spatial distribution between underwater sound source and ocean ambient noise, a detector based on bearing estimation variance is proposed. The time delay estimation method is adopted to estimate the bearing of the source, and the test statistics is deduced to evaluate the performance of the detector. The results show that its performance is far superior to the widely used broadband energy detector. Data processing results in sea trials show that the proposed detector can detect a sound source much earlier than the energy detector.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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