access icon free Optimal linear estimation for systems with transmission delays and packet dropouts

This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentation method, optimal linear filter, predictor and smoother are obtained. A sufficient condition for the convergence of the system is given. Finally, the simulation results show the effectiveness of the proposed algorithms.

Inspec keywords: smoothing methods; filtering theory

Other keywords: optimal linear filter; one-step delay; packet dropouts; optimal linear estimation; transmission delays; network unreliability; predictor; smoother; arrival conditions; state augmentation method

Subjects: Filtering methods in signal processing; Signal processing theory

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