Distributed Asynchronous Fusion Estimator for Stochastic Uncertain Systems With Multiple Sensors of Different Fading Measurement Rates

DOI10.1109/TSP.2017.2770102zbMath1414.94593OpenAlexW2766930537MaRDI QIDQ4621574

Shu-Li Sun, Honglei Lin, Fangfang Peng

Publication date: 12 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2017.2770102

Mathematics Subject Classification ID

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

Related Items (10)

Fusion estimation for stochastic uncertain systems with time-correlated rician fading channels ⋮ Scalable consensus filtering for uncertain systems over sensor networks with Round‐Robin protocol ⋮ Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks ⋮ Recursive filtering for time-varying systems under duty cycle scheduling based on collaborative prediction ⋮ Finite-time control in probability for time-varying systems with measurement censoring ⋮ Reliable fusion estimation over sensor networks with outliers and energy constraints ⋮ Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols ⋮ Tobit Kalman filter with channel fading and dead-zone-like censoring ⋮ Diffusion event-triggered sequential asynchronous state estimation algorithm for stochastic multiplicative noise systems ⋮ Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices

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