{"title":"Crosstalk cancellation and memory truncation in transmultiplexer filter banks — Transmission over non-ideal channels","authors":"A. Mertins","doi":"10.5281/ZENODO.36083","DOIUrl":null,"url":null,"abstract":"When transmultiplexers with overlapping frequency bands are used for the transmission of data over non-ideal channels, intersymbol interference and crosstalk between different data channels will arise. This paper addresses the design of optimal linear networks that reduce the effects mentioned above. A receiver structure based on a combination of crosstalk reduction, memory truncation and Viterbi detection will be proposed. The filter design method presented here is based on the maximization of a signal-to-noise ratio (SNR) at the detector input. The SNR will be defined for channel memories being truncated to arbitrary lengths. Thus, low-complexity Viterbi detectors working independently for all data channels can be used. The design of minimum mean squares error (MMSE) equalizer networks is included in the framework.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36083","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
When transmultiplexers with overlapping frequency bands are used for the transmission of data over non-ideal channels, intersymbol interference and crosstalk between different data channels will arise. This paper addresses the design of optimal linear networks that reduce the effects mentioned above. A receiver structure based on a combination of crosstalk reduction, memory truncation and Viterbi detection will be proposed. The filter design method presented here is based on the maximization of a signal-to-noise ratio (SNR) at the detector input. The SNR will be defined for channel memories being truncated to arbitrary lengths. Thus, low-complexity Viterbi detectors working independently for all data channels can be used. The design of minimum mean squares error (MMSE) equalizer networks is included in the framework.