Xiao Qijun, Huang Wei, Luo Zhonghui, L. Yanghua, Du Canyi
{"title":"Wavelet transform singularity detection technology applied in the seabed sediment sound velocity measurement","authors":"Xiao Qijun, Huang Wei, Luo Zhonghui, L. Yanghua, Du Canyi","doi":"10.1109/ICIEA.2017.8282994","DOIUrl":null,"url":null,"abstract":"The marine sediment acoustic velocity is an important physical parameter for Marine Physics and Underwater acoustics research. Based on the specific time-frequency localization characteristic of wavelet transform, this paper introduces the detection principle of signal singularity for wavelet transform, the calculation of singularity value, and the determination method of the singular point. Furthermore, a novel starting point detection of acoustic echo wave for marine sediment velocity measurement is proposed using singular point detection theory of wavelet transform. Feasibility of this approach is verified by two experiments. It is shown that this method can improve the accuracy of acoustic velocity measurement, and this method supplies technical support for developing submarine automatic measurement equipment.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8282994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The marine sediment acoustic velocity is an important physical parameter for Marine Physics and Underwater acoustics research. Based on the specific time-frequency localization characteristic of wavelet transform, this paper introduces the detection principle of signal singularity for wavelet transform, the calculation of singularity value, and the determination method of the singular point. Furthermore, a novel starting point detection of acoustic echo wave for marine sediment velocity measurement is proposed using singular point detection theory of wavelet transform. Feasibility of this approach is verified by two experiments. It is shown that this method can improve the accuracy of acoustic velocity measurement, and this method supplies technical support for developing submarine automatic measurement equipment.