{"title":"基于前向反传播网络的瑞利衰落信道自适应决策反馈均衡器","authors":"R. Kaneda, T. Manabe, S. Fujii","doi":"10.1109/NNSP.1992.253655","DOIUrl":null,"url":null,"abstract":"A forward-only counterpropagation network (FCPN) is proposed for nonlinear equalization of digital transmission channels. The FCPN is a type of multilayer feedforward network proposed by Hecht-Nielsen. Its learning mechanism is a combination of unsupervised self-organizing and supervised training. A decision-feedback equalizer based on FCPN was simulated on a digital computer. The results show that an FCPN-based equalizer can equalize transmission channels with time-varying characteristics modeled by Rayleigh fading adaptively by using the self-organization mechanism. The bit-error rate is lower than for the conventional equalizer using a linear transversal filter.<<ETX>>","PeriodicalId":438250,"journal":{"name":"Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptive decision-feedback equalizer using forward-only counterpropagation networks for Rayleigh fading channels\",\"authors\":\"R. Kaneda, T. Manabe, S. Fujii\",\"doi\":\"10.1109/NNSP.1992.253655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A forward-only counterpropagation network (FCPN) is proposed for nonlinear equalization of digital transmission channels. The FCPN is a type of multilayer feedforward network proposed by Hecht-Nielsen. Its learning mechanism is a combination of unsupervised self-organizing and supervised training. A decision-feedback equalizer based on FCPN was simulated on a digital computer. The results show that an FCPN-based equalizer can equalize transmission channels with time-varying characteristics modeled by Rayleigh fading adaptively by using the self-organization mechanism. The bit-error rate is lower than for the conventional equalizer using a linear transversal filter.<<ETX>>\",\"PeriodicalId\":438250,\"journal\":{\"name\":\"Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NNSP.1992.253655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NNSP.1992.253655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive decision-feedback equalizer using forward-only counterpropagation networks for Rayleigh fading channels
A forward-only counterpropagation network (FCPN) is proposed for nonlinear equalization of digital transmission channels. The FCPN is a type of multilayer feedforward network proposed by Hecht-Nielsen. Its learning mechanism is a combination of unsupervised self-organizing and supervised training. A decision-feedback equalizer based on FCPN was simulated on a digital computer. The results show that an FCPN-based equalizer can equalize transmission channels with time-varying characteristics modeled by Rayleigh fading adaptively by using the self-organization mechanism. The bit-error rate is lower than for the conventional equalizer using a linear transversal filter.<>
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