A modified EVA/DD algorithm for the equalization of non-constant modulus signals based on eigen analysis of cross-cumulants

A modified EVA/DD algorithm for the equalization of non-constant modulus signals based on eigen analysis of cross-cumulants

This paper presents a modified approach for enhancing the performance of the eigenvector approach (EVA) based on the cross-cumulants criterion for blindly equalizing non-constant modulus signals. The EVA algorithm depends only on the known statistical properties of the data source. The modified appr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: El-Khamy, S.E., Shaaban, S.E., Sadek, A.K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Bandwidth
Blind equalizers
Convergence
Distortion
Electronic mail
Intersymbol interference
Modems
Signal analysis
Wireless communication
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a modified approach for enhancing the performance of the eigenvector approach (EVA) based on the cross-cumulants criterion for blindly equalizing non-constant modulus signals. The EVA algorithm depends only on the known statistical properties of the data source. The modified approach presented in this paper takes into account the extra information about the known constellation alphabet of the data source through utilizing the decision directed (DD) algorithm. It is shown with simulation that this extra information will dramatically enhance the performance of the modified EVA/DD equalizer.
DOI:10.1109/NRSC.2003.157330