{"title":"On nonlinear decision functions applied to adaptive equalization for fading channels","authors":"Y.F. Lee, M. Wang","doi":"10.1109/VETECF.2002.1040673","DOIUrl":null,"url":null,"abstract":"In a previous paper (see Proc. of IEEE Malaysia International Conference on Communication, p.280-4, 2001) we proposed a nonlinear decision function for adaptive equalization in the presence of Rayleigh fading. A conventional decision function in adaptive equalization makes use of a hard decision threshold device to generate a difference signal (sometimes also called error signal) necessary in the process of updating the tap weights of the equalizer. This has the disadvantage of not differentiating a very weak signal from a strong signal. Our proposed nonlinear decision function approach weighs less on weak signals and is shown to provide enhancement over a conventional decision function. In this paper, we attempt to justify the use of the proposed clipped parabolic nonlinear decision function and investigate various possible forms of nonlinear decision functions.","PeriodicalId":162055,"journal":{"name":"Proceedings IEEE 56th Vehicular Technology Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE 56th Vehicular Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECF.2002.1040673","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 a previous paper (see Proc. of IEEE Malaysia International Conference on Communication, p.280-4, 2001) we proposed a nonlinear decision function for adaptive equalization in the presence of Rayleigh fading. A conventional decision function in adaptive equalization makes use of a hard decision threshold device to generate a difference signal (sometimes also called error signal) necessary in the process of updating the tap weights of the equalizer. This has the disadvantage of not differentiating a very weak signal from a strong signal. Our proposed nonlinear decision function approach weighs less on weak signals and is shown to provide enhancement over a conventional decision function. In this paper, we attempt to justify the use of the proposed clipped parabolic nonlinear decision function and investigate various possible forms of nonlinear decision functions.