A symbol by symbol clustering based blind equalizer

Author

Georgoulakis, Kristina

Author_Institution

Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece

fYear

2004

fDate

6-10 Sept. 2004

Firstpage

45

Lastpage

48

Abstract

A new blind symbol by symbol equalizer is proposed. The operation of the proposed equalizer is based on the geometric properties of the two dimensional data constellation. An unsupervised clustering technique is used to locate the clusters formed by the received data. The symmetric properties of the clusters labels are subsequently investigated in order to label the clusters. Following this step, the received data are compared to clusters and decisions are made on a symbol by symbol basis by assigning to each data the label of the nearest cluster. The performance of the proposed equalizer is better compared to the performance of a CMA-based blind equalizer.

Keywords

blind equalisers; decision making; geometry; intersymbol interference; pattern clustering; symbol manipulation; telecommunication channels; CMA-based blind equalizer; blind symbol by symbol equalizer; decision making; geometric properties; two dimensional data constellation; unsupervised clustering technique; Abstracts; Clustering algorithms; Equalizers; Intersymbol interference; Labeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2004 12th European

Conference_Location

Vienna

Print_ISBN

978-320-0001-65-7

Type

conf

Filename

7079964