Maritime surveillance (MS) is an important domain for many national and international
institutions, agencies, and bodies. In this context, the MS initiatives are aimed to enhance …

Surveillance in antisubmarine warfare has traditionally been carried out by means of
submarines or frigates with towed arrays. These techniques are manpower intensive …

This paper presents a factor graph formulation and particle-based sum-product algorithm
(SPA) for robust sequential localization in multipath-prone environments. The proposed …

In practical tracking applications, the target detection performance may be unknown and
also change rapidly in time. This work considers a network of sensors and develops a target …

We present a message passing algorithm for localization and tracking in multipath-prone
environments that implicitly considers obstructed line-of-sight situations. The proposed …

In networked mobile multitarget tracking systems, parameters such as detection
probabilities, clutter rates, and motion model parameters are often unknown and time …

Recently, advances in hardware such as CMOS camera nodes have led to the development
of Visual Sensor Networks (VSNs) that process sensed data and transmit the useful …

Driven by real-world issues in maritime surveillance, we consider the problem of estimating
the target state from a sequence of observations that can be imprecisely time-stamped. That …

Particle filters (PFs) are widely used for nonlinear signal processing in wireless sensor
networks (WSNs). However, the measurement uncertainty makes the WSN observations …

In structural health monitoring, Bayesian updating is widely utilised in the analysis of noisy
sequential data of dynamic systems with the objective of determining the state of damage of …