{"title":"中尺度涡旋存在下的源定位","authors":"J. Shorey, L. Nolte","doi":"10.1109/OCEANS.1992.612724","DOIUrl":null,"url":null,"abstract":"Our simulation configuration consists of several components: a true 3-D ray tracing pro- gram able to account for unsteady inhomogeneous flow in the medium, the GDEM database accessed by a high speed cubic spline, and a current model for a mesoscale eddy. Suitable for parallel processing, this program is used as a tool to localize an acoustic source in the presence of an eddy characterized by two or more unknowns in the environment. Time front struc- tures are used as a basis for localization rather than amplitude fields. Utilizing only current velocity representations for the eddy (not thermal) we have shown how the knowl- edge of the sensitivities of a source localization pro- cessor to an eddy can be advantageous. Namely, an optimal a posteriori source localization processor can be developed that explicitly utilizes the uncertainties in the eddy and outperforms a matched-field processor, particularly for a deep eddy with an unknown range.","PeriodicalId":158109,"journal":{"name":"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Source Localization In The Presence Of A Mesoscale Eddy\",\"authors\":\"J. Shorey, L. Nolte\",\"doi\":\"10.1109/OCEANS.1992.612724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our simulation configuration consists of several components: a true 3-D ray tracing pro- gram able to account for unsteady inhomogeneous flow in the medium, the GDEM database accessed by a high speed cubic spline, and a current model for a mesoscale eddy. Suitable for parallel processing, this program is used as a tool to localize an acoustic source in the presence of an eddy characterized by two or more unknowns in the environment. Time front struc- tures are used as a basis for localization rather than amplitude fields. Utilizing only current velocity representations for the eddy (not thermal) we have shown how the knowl- edge of the sensitivities of a source localization pro- cessor to an eddy can be advantageous. Namely, an optimal a posteriori source localization processor can be developed that explicitly utilizes the uncertainties in the eddy and outperforms a matched-field processor, particularly for a deep eddy with an unknown range.\",\"PeriodicalId\":158109,\"journal\":{\"name\":\"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.1992.612724\",\"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 92 Proceedings@m_Mastering the Oceans Through Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1992.612724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Source Localization In The Presence Of A Mesoscale Eddy
Our simulation configuration consists of several components: a true 3-D ray tracing pro- gram able to account for unsteady inhomogeneous flow in the medium, the GDEM database accessed by a high speed cubic spline, and a current model for a mesoscale eddy. Suitable for parallel processing, this program is used as a tool to localize an acoustic source in the presence of an eddy characterized by two or more unknowns in the environment. Time front struc- tures are used as a basis for localization rather than amplitude fields. Utilizing only current velocity representations for the eddy (not thermal) we have shown how the knowl- edge of the sensitivities of a source localization pro- cessor to an eddy can be advantageous. Namely, an optimal a posteriori source localization processor can be developed that explicitly utilizes the uncertainties in the eddy and outperforms a matched-field processor, particularly for a deep eddy with an unknown range.