Wen Tao, Xu Feng, Yang Juan, An Xu-dong, Wem Tao, Wang Mengbin
{"title":"An identification method based on multi-aspect target scattering characteristics","authors":"Wen Tao, Xu Feng, Yang Juan, An Xu-dong, Wem Tao, Wang Mengbin","doi":"10.1109/COA.2016.7535673","DOIUrl":null,"url":null,"abstract":"An identification method based on multi-aspect target scattering characteristics when the transmitting and receiving transducer are separated is proposed in this essay. Target strengths of each target at different bistatic angles are calculated, and form a combined vector. Then the first-order and second-order moment features are abstracted. Pool experiment of three targets has been conducted, and the features proposed by this easy are abstracted. The support vector machine classifier is employed to identify the target. The identification rate is up to 100% in the anechoic tank environment.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/OES China Ocean Acoustics (COA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COA.2016.7535673","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
An identification method based on multi-aspect target scattering characteristics when the transmitting and receiving transducer are separated is proposed in this essay. Target strengths of each target at different bistatic angles are calculated, and form a combined vector. Then the first-order and second-order moment features are abstracted. Pool experiment of three targets has been conducted, and the features proposed by this easy are abstracted. The support vector machine classifier is employed to identify the target. The identification rate is up to 100% in the anechoic tank environment.
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