G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network KU Leuven
In this paper, we address the ground-to-air (G2A) localization problem using a crowdsourced network with a mix of synchronized and unsynchronized receivers. First, we use a dynamic model to represent the offset and the skew of the unsynchronized receivers. This model is then used with a Kalman filter (KF) to compensate for the drifts of the unsynchronized receivers' clocks. Subsequently, the location of the aerial vehicle (AV) is estimated using ...