CONICET | Buscador de Institutos y Recursos Humanos

This paper focuses on a networked state estimation problem for a spatially large linear system witha distributed array of sensors, each of which offers partial state measurements, and the transmissionis lossy. We propose a measurement coding scheme with two goals. Firstly, it permits adjusting thecommunication requirements by controlling the dimension of the vector transmitted by each sensorto the central estimator. Secondly, for a given communication requirement, the scheme is optimal,within the family of linear causal coders, in the sense that the weakest channel condition is requiredto guarantee the stability of the estimator. For this coding scheme, we derive the minimum mean-square error (MMSE) state estimator, and state a necessary and sufficient condition with a trivial gap,for its stability. We also derive a sufficient but easily verifiable stability condition, and quantify theadvantage offered by the proposed coding scheme. Finally, simulations results are presented to confirmour claims.