Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal

DOI10.1016/J.SIGPRO.2011.03.010zbMath1217.94060OpenAlexW2022346897MaRDI QIDQ553761

Chenjian Ran, Deng, Zili

Publication date: 27 July 2011

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.03.010

zbMATH Keywords

convergencemultisensor information fusionasymptotical global optimalitydistributed measurement fusionfast inversion algorithmmulti-channel ARMA signalself-tuning fused signal estimator

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (9)

Robust centralized and weighted measurement fusion Kalman estimators for multisensor systems with multiplicative and uncertain-covariance linearly correlated white noises ⋮ Self-tuning weighted measurement fusion Kalman filtering algorithm ⋮ Huberian function applied to neurodegenerative disorder gait rhythm ⋮ Robust weighted fusion time-varying Kalman smoothers for multisensor system with uncertain noise variances ⋮ Robust measurement fusion steady-state estimator design for multisensor networked systems with random two-step transmission delays and missing measurements ⋮ Robust centralized and weighted measurement fusion Kalman predictors with multiplicative noises, uncertain noise variances, and missing measurements ⋮ Self‐tuning fusion Kalman filter weighted by scalars and its convergence analysis for multi‐channel autoregressive moving average signals ⋮ Weighted measurement fusion Kalman estimator for multisensor descriptor system ⋮ Self-tuning weighted fusion Kalman filter for ARMA signal with colored measurement noise and its convergence analysis

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multi-sensor information fusion white noise filter weighted by scalars based on Kálmán predictor
• Optimal and self-tuning weighted measurement fusion Wiener filter for the multisensor multichannel ARMA signals
• Kalman filtering with real-time applications
• Multi-sensor optimal information fusion Kalman filter
• Optimal and self-tuning white noise estimators with applications to deconvolution and filtering problems
• Self-tuning decoupled information fusion Wiener state component filters and their convergence
• Optimal Kalman filtering fusion with cross-correlated sensor noises
• New approach to information fusion steady-state Kalman filtering
• Optimal and self-tuning weighted measurement fusion Kalman filters and their asymptotic global optimality
• Optimal self-tuning filtering, prediction, and smoothing for discrete multivariable processes
• Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals
• A self-tuning filter for fixed-lag smoothing

This page was built for publication: Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal