J. Chen, Jianlong Li, Tongchen Wang, Juntao Yu, Yuan-xin Xu, W. Feng
{"title":"Experimental Demonstration of Acoustic Inversion Using an AUV Carrying Source","authors":"J. Chen, Jianlong Li, Tongchen Wang, Juntao Yu, Yuan-xin Xu, W. Feng","doi":"10.1109/WCSP.2018.8555924","DOIUrl":null,"url":null,"abstract":"This paper presents results of the sound speed profiles (SSPs) inversion using a data set obtained in shallow water of South China Sea in 2016 summer with an autonomous underwater vehicle (AUV) carrying source. In-site acoustic data collected by the vertical line array (VLA) are analyzed and employed for the inversion of time-evolving SSPs. The inversion is formulated as a tracking problem with the state-space model, in which the SSPs are parameterized by the empirical orthogonal functions (EOFs) to reduce the degree of freedom. The differ- ential evolution (DE) is implemented in the sequential process to maximize the a posterior probability. Results demonstrate the validation of the method for the SSP inversion, and the inversion errors are discussed.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"28 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2018.8555924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents results of the sound speed profiles (SSPs) inversion using a data set obtained in shallow water of South China Sea in 2016 summer with an autonomous underwater vehicle (AUV) carrying source. In-site acoustic data collected by the vertical line array (VLA) are analyzed and employed for the inversion of time-evolving SSPs. The inversion is formulated as a tracking problem with the state-space model, in which the SSPs are parameterized by the empirical orthogonal functions (EOFs) to reduce the degree of freedom. The differ- ential evolution (DE) is implemented in the sequential process to maximize the a posterior probability. Results demonstrate the validation of the method for the SSP inversion, and the inversion errors are discussed.
本文介绍了2016年夏季自主水下航行器(AUV)载源对南海浅海声速剖面(ssp)的反演结果。利用垂直线阵列(vertical line array, VLA)采集的现场声波数据进行了分析，并将其应用于时间演化的ssp反演。该反演是一个状态空间模型的跟踪问题，其中ssp由经验正交函数(EOFs)参数化以降低自由度。为了使后验概率最大化，在序列过程中采用差分进化方法。结果验证了该方法反演的有效性，并对反演误差进行了讨论。
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
