A Novel Kernel Algorithm for Finite Impulse Response Channel Identification - Normandie Université Accéder directement au contenu
Article Dans Une Revue Journal of Telecommunications and Information Technology Année : 2023

A Novel Kernel Algorithm for Finite Impulse Response Channel Identification

Rachid Fateh
  • Fonction : Auteur
Anouar Darif
  • Fonction : Auteur
Ahmed Boumezzough
  • Fonction : Auteur
Said Safi
  • Fonction : Auteur

Résumé

Over the last few years, kernel adaptive filters have gained in importance as the kernel trick started to be used in classic linear adaptive filters in order to address various regression and time-series prediction issues in nonlinear environments.In this paper, we study a recursive method for identifying finite impulse response (FIR) nonlinear systems based on binary-value observation systems. We also apply the kernel trick to the recursive projection (RP) algorithm, yielding a novel recursive algorithm based on a positive definite kernel. For purposes, our approach is compared with the recursive projection (RP) algorithm in the process of identifying the parameters of two channels, with the first of them being a frequency-selective fading channel, called a broadband radio access network (BRAN B) channel, and the other being a a theoretical frequency-selective channel, known as the Macchi channel. Monte Carlo simulation results are presented to show the performance of the proposed algorithm.

Dates et versions

hal-04247669 , version 1 (18-10-2023)

Identifiants

Citer

Rachid Fateh, Anouar Darif, Ahmed Boumezzough, Said Safi, Miloud Frikel. A Novel Kernel Algorithm for Finite Impulse Response Channel Identification. Journal of Telecommunications and Information Technology, 2023, 2 (2023), pp.84-93. ⟨10.26636/jtit.2023.169823⟩. ⟨hal-04247669⟩
13 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More