Optimal Estimation in Spatially Distributed Systems: Analyzing the Range of Measurement Sharing

This paper investigates the spatial localization of Kalman filters in spatially distributed systems, specifically focusing on how the interplay between system dynamics, noise characteristics, and measurement range influences the optimal sharing of measurements for state estimation.