{"title":"A Zero based Decision Feedback Equalizer for Underwater Acoustic Communications","authors":"S. Abeysekera, Y. Ye","doi":"10.1109/OCEANSAP.2006.4393902","DOIUrl":null,"url":null,"abstract":"This paper addresses blind technique of single input multiple output (SIMO) underwater acoutics communication channels estimation and equalization. Subspace channel estimation technique is used as the first step of the proposed technique. The performance of the initial channel estimation can be improved using the second step by exploiting the finite alphabet property at the decsion feedback equalizer (DFE) output. The novelty of this paper is that the SIMO DFE equalizer is designed using estimated channel zeros, and it is faster than the traditional MMSE-DFE. The estiamtion results are compared with blind SIMO channel estimation bounds and the training channel estimation performances.","PeriodicalId":268341,"journal":{"name":"OCEANS 2006 - Asia Pacific","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2006 - Asia Pacific","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSAP.2006.4393902","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
This paper addresses blind technique of single input multiple output (SIMO) underwater acoutics communication channels estimation and equalization. Subspace channel estimation technique is used as the first step of the proposed technique. The performance of the initial channel estimation can be improved using the second step by exploiting the finite alphabet property at the decsion feedback equalizer (DFE) output. The novelty of this paper is that the SIMO DFE equalizer is designed using estimated channel zeros, and it is faster than the traditional MMSE-DFE. The estiamtion results are compared with blind SIMO channel estimation bounds and the training channel estimation performances.