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Blind Signal Processing in Telecommunication Systems Based on Polynomial Statistics
Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
- 1 Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
- 2 Povolzhskiy State University of Telecommunications and Informatics, Samara, Russia
American Journal of Computational Mathematics·Volume 04 (2014)·Pages 233–241·Published 17 April 2014·DOI10.4236/ajcm.2014.43020
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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.
KeywordsBlind Channel IdentificationPolynomial CumulantsGröbner Basis
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