Nonlinear system modeling and identification using Volterra‐PARAFAC models

G Favier, AY Kibangou… - International Journal of …, 2012 - Wiley Online Library
Discrete‐time Volterra models are widely used in various application areas. Their
usefulness is mainly because of their ability to approximate to an arbitrary precision any …

Tensor analysis-based model structure determination and parameter estimation for block-oriented nonlinear systems

AY Kibangou, G Favier - IEEE Journal of Selected Topics in …, 2010 - ieeexplore.ieee.org
A block-oriented nonlinear system is composed of a concatenation of blocks representing
either memoryless nonlinearities or linear dynamic subsystems. Wiener, Hammerstein, and …

Nonlinear channel modeling and identification using baseband Volterra–Parafac models

T Bouilloc, G Favier - Signal Processing, 2012 - Elsevier
Baseband Volterra models are very useful for representing nonlinear communication
channels. These models present the specificity to include only odd-order nonlinear terms …

Nonlinear MIMO communication systems: Channel estimation and information recovery using Volterra models

CAR Fernandes - 2009 - theses.hal.science
Due to the presence of nonlinear devices such as power amplifiers (PA) and optical
instruments, the communication signals are sometimes corrupted by nonlinear distortions. In …

Bayesian Volterra system identification using reversible jump MCMC algorithm

O Karakuş, EE Kuruoğlu, MA Altınkaya - Signal Processing, 2017 - Elsevier
Volterra systems have had significant success in modelling nonlinear systems in various
real-world applications. However, it is generally assumed that the nonlinearity degree of the …

Convergence analysis of the alternating RGLS algorithm for the identification of the reduced complexity Volterra model

I Laamiri, A Khouaja, H Messaoud - ISA transactions, 2015 - Elsevier
In this paper we provide a convergence analysis of the alternating RGLS (Recursive
Generalized Least Square) algorithm used for the identification of the reduced complexity …

Estimation of cubic nonlinear bandpass channels in orthogonal frequency-division multiplexing systems

CH Tseng - IEEE Transactions on Communications, 2010 - ieeexplore.ieee.org
Modeling and compensation of nonlinear communication channels has long been an
important research topic in digital communications. A nonlinear bandpass channel is …

[PDF][PDF] Identification de modèles de Volterra basée sur la décomposition PARAFAC de leurs noyaux et le filtre de Kalman étendu.

G Favier, T Bouilloc - Traitement du signal, 2010 - gretsi.fr
Les modèles de Volterra sont très utilisés dans de nombreux domaines d'application du fait
qu'ils permettent de représenter, avec une précision arbitraire, tout système non linéaire de …

Nonlinear Channel Estimation for Minimally Sampled Baseband OFDM Systems

CH Tseng, JH Cheng - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
The orthogonal frequency-division multiplexing (OFDM) is a widely used modulation
scheme in modern digital communication systems. An OFDM signal can be susceptible to …

Blind identification of Hammerstein channels using QAM, PSK, and OFDM inputs

G Mileounis, N Kalouptsidis… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
This paper is concerned with the blind identification of passband and baseband
Hammerstein channels using cumulants of the received sequence. The channel is excited …