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Publications (12)
Two adaptive blind equalization algorithms for M-QAM modulation of a Single Input Single Output (SISO) are presented. The second blind equalization algorithm is an extension of the first algorithm. These methods are tested in a wireless environment where the noise is bounded and the channel is multipath fading. The two proposed equalizers are based...
A main topics in modern wireless communication systems is the development of equalization algorithms for different single-carrier modulations. This paper lists the most important blind equalization techniques for single-carrier modulations. A detailed study of some of these most used approaches in the literature is presented, in particular their pr...
Les travaux de cette thèse portent sur l'égalisation des canaux de transmission pour des modulations mono-porteuses et multi-porteuses. Dans le cadre de l'égalisation, nous nous intéressons, plus précisément, à l'égalisation aveugle. Tout d'abord, nous décrivons les différents éléments constituants une chaîne de communication, et les différents typ...
Two adaptive blind equalization algorithms for M-QAM modulation of a Single Input Single Output (SISO) are presented. The second blind equalization algorithm is an extension of the first algorithm. These methods are tested in a wireless environment where the noise is bounded and the channel is multipath fading. The two proposed equalizers are based...
Provide equalization algorithms for orthogonal frequency division multiplexing (OFDM) signals transmitted over multipath channels with different type of constellations, is one of the most important works in modern wireless communication systems at high speed, for its great role to reduce Intersymbol-interference (ISI). This article recalls the tech...
This paper addresses the blind equalization problem in presence of bounded noise using an optimal bounding ellipsoid
(OB) algorithm. This provides an adequate blind equalization algorithm with an accurate parameter estimation. A fundamental
analysis of the involved equalizer is performed to emphasize its underlying properties. This fundamental resu...
In this paper, we propose a frequency recursive blind equalization algorithm of data in orthogonal frequency division multiplexing (OFDM) system using a cyclic prefix. The proposed algorithm is based on a Set Membership identification methods. More precisely, it is based an Optimal Bounding Ellipsoid (OBE) algorithm. We consider, in this paper, the...
In this paper, we propose a frequency recursive blind equalization algorithm of data in orthogonal frequency division multiplexing (OFDM) system using a cyclic prefix. The proposed algorithm is based on a Set Membership identification methods. More precisely, it is based an Optimal Bounding Ellipsoid (OBE) algorithm. In this document, we consider t...
In this paper, we provide two algorithms for blind equalization in a bounded noise environment of a Single Input Single Output (SISO) channel. These approaches are based an Optimal Bounding Ellipsoid (OBE) algorithms. This class is among the set Membership identification methods. The aim of these algorithms is to force the equalizer output constell...
This document surveys the blind equalization issue. Our approach is based on the reformulation of the equalization problem in an identification problem in existence of limited noise. The objective of the proposed method is to estimate the settings of the equalizer such that the output of the equalizer is in a neighborhood of the input constellation...
