The noncooperative target tracking is an important issue for the Internet of Underwater
Things (IoUT). Autonomous underwater vehicles (AUVs) are preferred options to achieve the …

The state estimation algorithm and the Own Ship maneuvering specifications have great
effects on the accuracy of the bearing-only tracking (BOT) method. In the BOT problem, the …

Automatic Identification System (AIS) allows the ships to broadcast important kinematic and
static information, and is one of the most commonly used tools for ship traffic monitoring as …

This paper presents a distributed filtering problem for three-dimensional angle-only target
tracking (AOTT) in sensor (ie, observer) networks. An instrumental variable-based pseudo …

The problem of dynamic state estimation of power systems is relevant to the monitoring of
real-time operation of essential power distribution infrastructure. The nonlinear Kalman filter …

Underwater platforms provide long-term detection of undersea targets. In this paper, we
propose a method for the estimation of target motion parameters by submerged static …

The convergence of nonlinear Kalman filters has conventionally been analyzed in terms of
the estimation error. In this paper, we present a new method for investigating the …

In this paper, the particle filtering problem is investigated for a class of networked nonlinear
systems with random one-step sensor delay and missing measurements. The phenomena of …

The conventional distributed Kalman filter (DKF) assumes that the noise sources have
known statistical properties. However, the statistical properties of noises are not completely …

Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only
maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary …