{"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}
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.