RESEARCH ARTICLE
Given Correlation Manifolds and their Application in Blind Channel Identification
Oleg V. Goryachkin*, Elena I. Erina*
Department of Theoretical Basis of Telecommunication and Radio engineering Systems, Volga State University of
Telecommunications and Informatics, Samara, Russia.
Article Information
Identifiers and Pagination:
Year: 2009Volume: 1
First Page: 55
Last Page: 64
Publisher Id: TOSPJ-1-55
DOI: 10.2174/1876527000901010055
Article History:
Received Date: 11/12/2008Revision Received Date: 2/4/2009
Acceptance Date: 6/4/2009
Electronic publication date: 8/7/2009
Collection year: 2009
© 2009 Goryachkin et al.;
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
This paper introduces the new objects named polynomial statistics. We discuss their properties and applicability to the problem of Blind Channel Identification which is a highly topical issue at the moment. This paper proposes a solution to this problem which is based on using polynomial representations of finite random sequence. Algorithms of Blind identification that was described in this paper use a factorization property of so-called given correlation manifolds.
Keywords: Blind channel identification, polynomial statistics, zero-correlation manifold, given correlation manifold..
