{"title":"Measurement-based analysis of characteristics of fast moving underwater acoustic communication channel","authors":"Yang Wang, Honglu Yan, Chenyu Pan, Songzuo Liu","doi":"10.1109/FIT57066.2022.00019","DOIUrl":null,"url":null,"abstract":"In the fast moving scene, the underwater acoustic communication (UWAC) channel has extremely complex time-varying characteristics. The lack of standardized channel model severely limits the development of mobile UWAC technology. In this paper, the channel time-varying impulse response (TVIR) is estimated based on the measured mobile UWAC data, and the correlation coefficient, spread function and envelope of the channel are analyzed. The analysis results show that the fast movement between the transmitter and the receiver will lead to serious deviation and amplitude variation of the multipath arrival time, which will cause large Doppler frequency offset and spread, and lead to the decline of channel correlation. In this paper, the statistical characteristics of the measured channel are analyzed, which is helpful to the development of mobile UWA channel model.","PeriodicalId":102958,"journal":{"name":"2022 International Conference on Frontiers of Information Technology (FIT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Frontiers of Information Technology (FIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT57066.2022.00019","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
In the fast moving scene, the underwater acoustic communication (UWAC) channel has extremely complex time-varying characteristics. The lack of standardized channel model severely limits the development of mobile UWAC technology. In this paper, the channel time-varying impulse response (TVIR) is estimated based on the measured mobile UWAC data, and the correlation coefficient, spread function and envelope of the channel are analyzed. The analysis results show that the fast movement between the transmitter and the receiver will lead to serious deviation and amplitude variation of the multipath arrival time, which will cause large Doppler frequency offset and spread, and lead to the decline of channel correlation. In this paper, the statistical characteristics of the measured channel are analyzed, which is helpful to the development of mobile UWA channel model.