Estimation of autoregressive fading channels based on two cross-coupled \(H_{\infty }\) filters

DOI10.1007/s11760-008-0096-xzbMath1172.93330OpenAlexW2061638365MaRDI QIDQ1032119

Ali Jamoos, Mohamed Najim, Eric Grivel, Nicolai D. Christov

Publication date: 26 October 2009

Published in: Signal, Image and Video Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11760-008-0096-x

zbMATH Keywords

Kalman filteringautoregressive processesRayleigh fading channels\(H_{\infty}\) filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36)

Cites Work

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• Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filters
• Estimation and equalization of fading channels with random coefficients
• Asymptotic properties of the high-order Yule-Walker estimates of sinusoidal frequencies
• Instrumental variable methods for ARMA spectral estimation
• The effects of noise on the autoregressive spectral estimator
• Game theory approach to optimal linear state estimation and its relation to the minimum H/sub infinity /-norm estimation
• Dual ${H}_{\infty}$ Algorithms for Signal Processing— Application to Speech Enhancement
• Support Vector Method for RobustARMA System Identification
• New developments in state estimation for nonlinear systems

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