Distributed Receding Horizon Kalman Filter

In English In this paper a distributed version of the Kalman
filter is proposed. In particular, the estimation problem is
reduced to the optimization of a cost function that depends
on the system dynamics and the latest output measurements
and state estimates which is distributed among the agents by
means of dual decomposition. The techniques presented in the
paper are applied to estimate the position of mobile agents.