The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …

The measurement selection for updating the state estimate of a target's track, known as data
association, is essential for good performance in the presence of spurious measurements or …

Recent developments in random finite sets (RFSs) have yielded a variety of tracking
methods that avoid data association. This paper derives a form of the full Bayes RFS filter …

The tracking of objects using distributed multiple sensors is an important field of work in the
application areas of autonomous robotics, military applications, and mobile systems. In this …

Data association, the problem of reasoning over correspondence between targets and
measurements, is a fundamental problem in tracking. This paper presents a graphical model …

We review the literature and look at two of the best algorithms for Gaussian mixture
reduction, the GMRC (Gaussian Mixture Reduction via Clustering) and the COWA …

The joint probabilistic data association (JPDA) filter is a popular tracking methodology for
problems involving well-spaced targets, but it is rarely applied in problems with closely …