… and memory footprints of conventional Kalman filters. These properties are present in the
sign of innovations Kalman filter (SOI-KF) and its variants discussed in this section; see also [7]. …

… Abstract— In this paper, we introduce three novel distributed Kalman filtering (DKF)
algorithms for sensor networks. The first algorithm is a modification of a previous DKF algorithm …

… sensor nodes, while preserving the adaptability to the dynamic nature of the wireless links.
Kalman filters … them to estimate link quality in sensor networks. However, SNR alone cannot …

… of consensus filters is discussed in a companion CDC ’05 paper [OSS05b]. We show that a
central Kalman filter for sensor networks can be decomposed into n micro-Kalman filters with …

… sensor networks. The proposed method combines machine learning with a Kalman filter to
… The target’s accelerations, along with information from the network, are used to obtain an …

… By using a pinning control scheme, only a small fraction of sensors need to … , the Kalman
Filter is used to estimate the data sequence for each sensor node rather than to choose sensor …

… kalman filter (UKF) has been proved to be a better alternative to KF and the extended
Kalman filter (EKF), especially in the context of system nonlinearity [16], [17]. In [17], UKF based …

… According to the local Kalman filtering and randomized gossiping algorithm, we derive the
DKF algorithm updated by adding a random consensus step between the Kalman filtering …

… This paper focuses on the design and performance evaluation of Kalman filters for tracking
a mobile target moving at low dynamics and for smoothing range estimations from noisy …

… Our objective is to design a local Kalman filter at each sensor node so that, via the exchange
of sensor measurements … Such a network of local Kalman filters is referred to as DKF. …