Blind Signal Processing in Telecommunication Systems Based on Polynomial Statistics

Oleg Goryachkin, Andrey Berezovskiy

Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia.

DOI: 10.4236/ajcm.2014.43020                

Abstract

The tendencies of the contemporary communication systems development are characterized by the increasingly stringent requirements for maximum channel utilization. Considering discrete communication systems in channels with intersymbol interference identification with the use of training signal is the key technology to create various types of equalizers. However, the time (from 20% to 50%) spent on training signal is increasingly attractive resource for upgrading standards TDMA, especially in mobile systems. An alternative method to training signal is blind signal processing.

Keywords

Blind Channel Identification, Polynomial Cumulants, Gröbner Basis

Conflicts of Interest

The authors declare no conflicts of interest.

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