{"title":"多频率InSAS海上试验的测深结果","authors":"P. Barclay, M.H. Hayes, Peter T. Gough","doi":"10.1109/OCEANSAP.2006.4393929","DOIUrl":null,"url":null,"abstract":"In this paper we present results from a multi-frequency interferometric synthetic aperture sonar (InSAS) sea-trial. The height estimate is generated using a maximum likelihood (ML) estimate combining the data from the hydrophones. To decrease the effect of the large variance of the phase difference estimates the broadband signal is divided into smaller subbands and combined to give a height estimate with much improved accuracy, albeit at a reduced resolution due to the reduction in system bandwidth. Results are shown for a three vertical element sonar, and the improvement obtained using multiple frequency bands sub-banded to give a lower variance in the height estimate. Multiple pings are also combined as multiple looks, further reducing the height variance.","PeriodicalId":268341,"journal":{"name":"OCEANS 2006 - Asia Pacific","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Bathymetric results from a multi-frequency InSAS sea-trial\",\"authors\":\"P. Barclay, M.H. Hayes, Peter T. Gough\",\"doi\":\"10.1109/OCEANSAP.2006.4393929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present results from a multi-frequency interferometric synthetic aperture sonar (InSAS) sea-trial. The height estimate is generated using a maximum likelihood (ML) estimate combining the data from the hydrophones. To decrease the effect of the large variance of the phase difference estimates the broadband signal is divided into smaller subbands and combined to give a height estimate with much improved accuracy, albeit at a reduced resolution due to the reduction in system bandwidth. Results are shown for a three vertical element sonar, and the improvement obtained using multiple frequency bands sub-banded to give a lower variance in the height estimate. Multiple pings are also combined as multiple looks, further reducing the height variance.\",\"PeriodicalId\":268341,\"journal\":{\"name\":\"OCEANS 2006 - Asia Pacific\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 2006 - Asia Pacific\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSAP.2006.4393929\",\"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 2006 - Asia Pacific","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSAP.2006.4393929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bathymetric results from a multi-frequency InSAS sea-trial
In this paper we present results from a multi-frequency interferometric synthetic aperture sonar (InSAS) sea-trial. The height estimate is generated using a maximum likelihood (ML) estimate combining the data from the hydrophones. To decrease the effect of the large variance of the phase difference estimates the broadband signal is divided into smaller subbands and combined to give a height estimate with much improved accuracy, albeit at a reduced resolution due to the reduction in system bandwidth. Results are shown for a three vertical element sonar, and the improvement obtained using multiple frequency bands sub-banded to give a lower variance in the height estimate. Multiple pings are also combined as multiple looks, further reducing the height variance.