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 …

In the localization estimation system, it is well known that the sensor-emitter geometry can
seriously impact the accuracy of the location estimate. In this paper, we analyze the optimal …

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

In this paper, an angles of arrival (AOA) localization algorithm based on A-optimality criterion
is proposed to solve the problem of unmanned aerial vehicle (UAV) Swarm locating various …

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 …

To improve the localization precision of unmanned aerial vehicle (UAV), a novel framework
is established by jointly utilizing multiple measurements of received signal strength (RSS) …

In isolated regions, utilizing the unmanned aerial vehicle (UAV) as an aerial anchor node is
a promising technique to enable location awareness of ground terminals (GTs). In this letter …

The relative sensor–emitter geometry has a great impact on the localisation accuracy. In this
study, optimal deployments of hybrid time‐difference‐of‐arrival (TDOA) and angle‐of‐arrival …

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 …

Passive geolocation by multiple unmanned aerial vehicles (UAVs) covers a wide range of
military and civilian applications including rescue, wild life tracking and electronic warfare …