Blind equalization of nonlinear channels using a tensor decomposition with code/space/time diversities

被引:17
作者
Kibangou, Alain Y. [2 ]
Favier, Gerard [1 ]
机构
[1] UNSA, CNRS, Lab 13S, F-06903 Sophia Antipolis, France
[2] Univ Toulouse 2, CNRS, LAAS, F-31077 Toulouse, France
关键词
Blind equalization; Nonlinear channels; Volterra model; Finite alphabet; Tensor decomposition; PARAFAC decomposition; Precoding; PARAFAC DECOMPOSITION; DELAY SPREAD; CDMA SYSTEMS; IDENTIFICATION; MULTICHANNEL; STATISTICS; MODULATION;
D O I
10.1016/j.sigpro.2008.07.016
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we consider the blind equalization problem for nonlinear channels represented by means of a Volterra model. We first Suggest a precoding scheme inducing a three-dimensional (3-D) structure for the received data due to code, space, and time diversities. The tensor of received data admits a PARAFAC (parallel factors) decomposition with finite alphabet and Vandermonde structure constraints. We derive a uniqueness result taking such constraints into account. When one of the matrix factors, the code matrix, is known or belongs to a known finite set of matrices, we give new uniqueness results and three equalization algorithms are proposed. The performances of these algorithms are illustrated by means of simulation results. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:133 / 143
页数:11
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