We consider the Kalman-filtering problem with multiple sensors which are connected
through a communication network. If all measurements are delivered to one place called …

This paper investigates the distributed Kalman filtering (DKF) from distributed optimization
viewpoint. Motivated by the fact that Kalman filtering is a maximum a posteriori estimation …

This paper investigates the distributed Kalman filtering (DKF) from distributed optimization
viewpoint. Motivated by the fact that Kalman filtering is a maximum a posteriori estimation …

This paper proposes an improved design approach for distributed consensus Kalman
filtering (DCKF). We provide an improved consensus gain factor compared to the sub …

In this paper, we address the problem of distributed state estimation, where a set of nodes
are required to jointly estimate the state of a linear dynamic system based on sequential …

Fueled by applications in sensor networks, these years have witnessed a surge of interest in
distributed estimation and filtering. A new approach is hereby proposed for the Distributed …

This paper presents ECO-DKF, the first E vent-Triggered and C ertifiable O ptimal D
istributed K alman F ilter. Our algorithm addresses two major issues inherent to Distributed …

In this paper, we study the distributed state estimation problem where a set of nodes
cooperatively estimate the hidden state of a nonlinear dynamic system based on sequential …

One of the fundamental problems in sensor networks is to estimate and track the state of
targets (or dynamic processes) of interest that evolve in the sensing field. Kalman filtering …

We consider the problem of distributed Kalman filter design for a linear state-space model,
where a set of nodes is required to collectively estimate the unknown state in real time, only …