In this paper, we investigate the use of Gaussian mixture probability hypothesis density
filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor …

In this paper, we study the problem of joint underwater target detection and tracking using an
acoustic vector sensor (AVS). For this challenging problem, first a realistic frequency domain …

In this paper, we address the problem of multi-target detection and tracking over a network of
separately located Doppler-shift measuring sensors. For this challenging problem, we …

The technology of multitarget tracking (MTT) has been widely and deeply researched in
many fields, such as the radar system and wireless sensor networks (WSNs). However, how …

In this paper, we present the performance of the Gaussian mixture probability hypothesis
density (GM-PHD) filter in tracking multiple ground targets using a passive acoustic-sensor …

Target state estimation with Doppler-only sensors has attracted a lot of attention due to its
wide potential applications in target localization and tracking. While existing Doppler-only …

This paper presents a Gaussian mixture (GM) implementation of the Bernoulli filter for
extended target tracking, which we call the extended target GM Bernoulli (ET-GM-Ber) filter …

The fundamental task of a radar is target detection, that is, determining whether or not a
target exists. Over time, however, expectations have grown regarding the information that …

Particle filters are an increasingly popular algorithm for tracking in non-linear and non-
Gaussian scenarios. However, in scenarios involving multiple pronounced and persistent …

Tracking multiple objects in indoor environments has various applications such as patient
monitoring and inventory tracking. In this thesis, the use of Gaussian mixture probability …