Digital communications channel equalization using the Kernel Adaline
For transmission of digital data over a linear channel with additive white noise, it can be shown that the optimal symbol-decision equalizer is nonlinear. The Kernel Adaline algorithm, a nonlinear generalization of Widrow's and Hoff's (1960) Adaline, is capable of learning arbitrary nonlin...
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| Veröffentlicht in: | IEEE transactions on communications 2002-04, Vol.50 (4), p.571-576 |
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| creator | Mitchinson, B. Harrison, R.F. |
| description | For transmission of digital data over a linear channel with additive white noise, it can be shown that the optimal symbol-decision equalizer is nonlinear. The Kernel Adaline algorithm, a nonlinear generalization of Widrow's and Hoff's (1960) Adaline, is capable of learning arbitrary nonlinear decision boundaries while retaining the desirable convergence properties of the linear Adaline. This work investigates the use of the Kernel Adaline as an equalizer for such transmission channels. We show that the performance of the Kernel Adaline approaches that of the optimal symbol-decision equalizer given by Bayes theory and further, still produces useful results when the additive noise is nonwhite. A description and preliminary results of an adaptive version of the Kernel Adaline are also presented. |
| doi_str_mv | 10.1109/26.996071 |
| format | Article |
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A description and preliminary results of an adaptive version of the Kernel Adaline are also presented.</description><subject>Additive white noise</subject><subject>Additives</subject><subject>Bayesian methods</subject><subject>Boundaries</subject><subject>Channels</subject><subject>Clustering algorithms</subject><subject>Convergence</subject><subject>Delay estimation</subject><subject>Digital communication</subject><subject>Equalizers</subject><subject>Gaussian noise</subject><subject>Intersymbol interference</subject><subject>Kernel</subject><subject>Kernels</subject><subject>Nonlinearity</subject><subject>Optimization</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0T1PwzAQBmALgUQpDKxMEQOCIeX8FTsjavkSlVhgthz32rpKnTZOBvj1pKRiYIDppHsfne50hJxTGFEK-S3LRnmegaIHZECl1CloqQ7JACCHNFNKH5OTGFcAIIDzAZlM_MI3tkxctV63wTvb-CrExC1tCFgmuG1t6T-_u0kbfVgkzRKTF6x36d2sCwOekqO5LSOe7euQvD_cv42f0unr4_P4bpo6nukm1Y4jFo4WMBNaFlJwzmhuc9ltrJXjRa4UMj1n1Clpi0JQLjJhpXOoJYgZH5Krfu6mrrYtxsasfXRYljZg1UbDNBOgJP0fKtAcctXB6z8hzVS3hORyRy9_0VXV1qG712gtJAVQrEM3PXJ1FWONc7Op_drWH4aC2T3IsMz0D-rsRW89Iv64ffgFj2uI-g</recordid><startdate>20020401</startdate><enddate>20020401</enddate><creator>Mitchinson, B.</creator><creator>Harrison, R.F.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Additive white noise Additives Bayesian methods Boundaries Channels Clustering algorithms Convergence Delay estimation Digital communication Equalizers Gaussian noise Intersymbol interference Kernel Kernels Nonlinearity Optimization |
| title | Digital communications channel equalization using the Kernel Adaline |
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