In this paper, the advances of distributed fusion estimation (DFE) algorithms for multi-sensor
networked systems (NSs) are reviewed. First, several general DFE algorithms are reviewed …

In this paper, research advances in modelling and estimation algorithms for multirate
multisensor systems are reviewed. Multirate multisensor sampling schemes can be …

This paper addresses the distributed fusion filtering problem for discrete-time random
signals from measured outputs perturbed by random parameter matrices and correlated …

In this paper, the problem of optimal state estimation is studied for fusion of asynchronous
multirate multiscale sensors with unreliable measurements and correlated noise. The noise …

This paper is concerned with the distributed fusion estimation problem for a class of multi-
sensor asynchronous sampling systems with correlated noises. The state updates uniformly …

The fusion estimation problem for a class of multi‐sensor asynchronous sampling linear
stochastic systems with missing measurements is considered, where the state is updated …

This letter investigates the hierarchical fusion estimation for clustered sensor networks. The
sensors within the same cluster are connected to a local estimator, and all the local …

This paper discusses the use of networks of Inertial Measurement Units (IMUs) for the
reconstruction of trajectories from sensor data. Logistics is a natural application domain to …

In this paper, an optimal distributed fusion estimation algorithm is presented for multi-sensor
non-uniform sampling systems with the correlated process noise and measurement noises …

The estimation problem for a class of non-uniform sampling linear stochastic systems with
missing measurements is considered, where the state is updated uniformly and the sensor …