In this paper, the angle-of-arrival (AOA) measurements are adapted to locate a target using
the UAV swarms equipped with passive receivers. The measurement noise is considered to …

Unmanned aerial vehicles (UAVs) are considered as a great solution for a flexible and rapid
deployment of wireless sensor networks (WSN) in emergency scenarios. Hybrid time-of …

Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have
tremendous potential applications due to their flexibility and rapid deployment. Hybrid time …

Unmanned aerial vehicle (UAV) swarm-based localization technology has become
increasingly popular due to its exceptional maneuverability, versatile coverage capabilities …

In localization estimation systems, it is well known that the sensor-emitter geometry can
seriously impact the accuracy of the location estimate. In this paper, time-difference-of-arrival …

Unmanned aerial vehicle (UAV) swarms require accurate relative localization to safeguard
flight missions in the global navigation satellite system-denied environment due to a lack of …

The relative localization (RL) of unmanned aerial vehicle (UAV) swarms has gained
considerable traction within the realm of UAV formation control. However, most existing RL …

With the advent of the Internet of Things (IoT) era, the multiunmanned aerial vehicle (UAV)
networks have attracted great attention in the fields of source detection and localization …

A cooperative unmanned aerial vehicle (UAV) swarm has been proven to be a fast and
efficient system for performing tasks. The relative measurements based on visual detection …

Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-
difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem …