Krall, C. ; Witrisal, K. ; Leus, G. ; Koeppl, H. (2008)
Minimum Mean-Square Error Equalization for Second-Order Volterra Systems.
In: IEEE Transactions on Signal Processing, 56 (10)
doi: 10.1109/TSP.2008.928167
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, a novel nonlinear Volterra equalizer is presented. We define a framework for nonlinear second-order Volterra models, which is applicable to different applications in engineering. We use this framework to define the channel and to model the equalizer. We then solve the minimum mean-square error (MMSE) problem explicitly for the tandem connection of the two second-order Volterra systems. Optimal solutions for a simplified, linear version of the MMSE equalizer are also presented. The novel equalizer was tested when applied to a nonlinear ultra-wideband transmitted reference receiver front end. As a comparison, a least mean squares (LMS) equalizer with a training sequence has been used to verify the performance of the newly proposed equalizer. The simulation results show that the LMS equalizer is only able to attain the proposed MMSE equalizer after very long training, which might not be desirable in a communication system.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2008 |
| Autor(en): | Krall, C. ; Witrisal, K. ; Leus, G. ; Koeppl, H. |
| Art des Eintrags: | Bibliographie |
| Titel: | Minimum Mean-Square Error Equalization for Second-Order Volterra Systems |
| Sprache: | Englisch |
| Publikationsjahr: | Oktober 2008 |
| Verlag: | IEEE |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Transactions on Signal Processing |
| Jahrgang/Volume einer Zeitschrift: | 56 |
| (Heft-)Nummer: | 10 |
| DOI: | 10.1109/TSP.2008.928167 |
| Kurzbeschreibung (Abstract): | In this paper, a novel nonlinear Volterra equalizer is presented. We define a framework for nonlinear second-order Volterra models, which is applicable to different applications in engineering. We use this framework to define the channel and to model the equalizer. We then solve the minimum mean-square error (MMSE) problem explicitly for the tandem connection of the two second-order Volterra systems. Optimal solutions for a simplified, linear version of the MMSE equalizer are also presented. The novel equalizer was tested when applied to a nonlinear ultra-wideband transmitted reference receiver front end. As a comparison, a least mean squares (LMS) equalizer with a training sequence has been used to verify the performance of the newly proposed equalizer. The simulation results show that the LMS equalizer is only able to attain the proposed MMSE equalizer after very long training, which might not be desirable in a communication system. |
| Freie Schlagworte: | Nonlinear MMSE equalizer,Volterra systems,second-order systems |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik |
| Hinterlegungsdatum: | 04 Apr 2014 12:24 |
| Letzte Änderung: | 20 Nov 2023 14:29 |
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