{"title":"水声通信的非数据辅助多普勒频移估计","authors":"P. Cotae, Suresh Regmi, I. S. Moskowitz","doi":"10.1109/ICCOMM.2014.6866734","DOIUrl":null,"url":null,"abstract":"In this paper, we investigated different methods for blind Doppler shift estimation and compensation for a single carrier in underwater acoustic wireless sensor networks. We analyzed the data collected from our experiments using non-data aided (blind) techniques such as Power Spectrum Analysis, Autocorrelation, and Squaring Time Phase Recovery methods in order to estimate the Doppler shift in collaborative distributed underwater sensor networks. Detailed experimental and simulated results based on second order cyclostationary features of the received signals are presented.","PeriodicalId":366043,"journal":{"name":"2014 10th International Conference on Communications (COMM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Non-data aided doppler shift estimation for underwater acoustic communication\",\"authors\":\"P. Cotae, Suresh Regmi, I. S. Moskowitz\",\"doi\":\"10.1109/ICCOMM.2014.6866734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigated different methods for blind Doppler shift estimation and compensation for a single carrier in underwater acoustic wireless sensor networks. We analyzed the data collected from our experiments using non-data aided (blind) techniques such as Power Spectrum Analysis, Autocorrelation, and Squaring Time Phase Recovery methods in order to estimate the Doppler shift in collaborative distributed underwater sensor networks. Detailed experimental and simulated results based on second order cyclostationary features of the received signals are presented.\",\"PeriodicalId\":366043,\"journal\":{\"name\":\"2014 10th International Conference on Communications (COMM)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 10th International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCOMM.2014.6866734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 10th International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCOMM.2014.6866734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-data aided doppler shift estimation for underwater acoustic communication
In this paper, we investigated different methods for blind Doppler shift estimation and compensation for a single carrier in underwater acoustic wireless sensor networks. We analyzed the data collected from our experiments using non-data aided (blind) techniques such as Power Spectrum Analysis, Autocorrelation, and Squaring Time Phase Recovery methods in order to estimate the Doppler shift in collaborative distributed underwater sensor networks. Detailed experimental and simulated results based on second order cyclostationary features of the received signals are presented.
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