Blind Signal Processing in Telecommunication Systems Based on Polynomial Statistics  

作　　者：Oleg Goryachkin Andrey Berezovskiy 

机构地区：[1]Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia

出　　处：《American Journal of Computational Mathematics》2014年第3期233-241,共9页美国计算数学期刊（英文）

摘　　要：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.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.

关 键 词：Blind Channel Identification Polynomial Cumulants Gobner Basis 

分 类 号：TN91[电子电信—通信与信息系统]