Blind channel identification using higher-order statistics

DOI10.1080/00949650601081835zbMath1254.93154OpenAlexW2083821225MaRDI QIDQ3497823

M. Boulouird, Moha M. Hassani, Abdelhafid Zeroual

Publication date: 28 May 2008

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650601081835

zbMATH Keywords

parameter estimationcumulantshigher-order statisticsNewton-Raphson algorithmGauss-Newton algorithmblind identificationgradient descent algorithmlinear algebra solution

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12) Control/observation systems in abstract spaces (93C25)

Cites Work

• Unnamed Item
• A new FIR system identification method based on fourth-order cumulants: Application to blind equalization
• Fitting ARMA models to linear non-Gaussian processes using higher order statistics.
• Blind system identification using second, third and fourth order cumulants
• Identification of nonminimum phase systems using higher order statistics
• System identification using a linear combination of cumulant slices
• Blind Identification in Noisy Environment of Nonminimum Phase Finite Impulse Response (FIR) System Using Higher Order Statistics
• Blind parametric identification of non-Gaussian FIR systems using higher order cumulants
• Ma system identification using higher order cumulants application to modelling solar radiation
• Cumulant based identification approaches for nonminimum phase FIR systems
• Approaches of FIR system identification with noisy data using higher order statistics

This page was built for publication: Blind channel identification using higher-order statistics