Mobility models serve as the foundation for evaluating and designing airborne networks
(ANs). Due to the significant impact of mobility models on the networking performance, the …

This is the first part of a comprehensive and up-to-date survey of the techniques for tracking
maneuvering targets without addressing the so-called measurement-origin uncertainty. It …

Explore foundational and advanced issues in UAV cellular communications with this cutting-
edge and timely new resource UAV Communications for 5G and Beyond delivers a …

This is the third part of a series of papers that provide a comprehensive survey of the
techniques for tracking maneuvering targets without addressing the so-called measurement …

The classical particle filter deals with the estimation of one state process conditioned on a
realization of one observation process. We extend it here to the estimation of multiple state …

We address the problem of multitarget tracking (MTT) encountered in many situations in
signal or image processing. We consider stochastic dynamic systems detected by …

Target tracking is a hybrid estimation problem involving both continuous and discrete
uncertainties [31]. In the prevailing approaches to target tracking, the modeling of the target …

This is the fourth part of a series of papers that provide a comprehensive survey of
techniques for tracking maneuvering targets without addressing the so-called measurement …

Effective routing in airborne networks (ANs) relies on suitable mobility models that capture
the random movement pattern of airborne vehicles. As airborne vehicles cannot make sharp …

We equip an ultra-wideband (UWB) node and a 2D LiDAR sensor aka 2D laser rangefinder
on a mobile robot, and place UWB beacon nodes at unknown locations in an unknown …