In urban environments, Global Navigation Satellite Systems fail to provide good accuracy because of the low likelihood of line-of-sight (LOS) links between the User Equipment (UE) to be located and the satellites, due to the presence the buildings that block the satellite signals. Thus, other approaches, that can reliably operate under non-line-of-sight (NLOS) conditions are required. In the recent years, many researchers have developed algorithms that are tailored to perform under heavy NLOS conditions. Many of such methods use Received Signal Strength (RSS) or Time of Arrival (ToA) (or both, in hybrid methods) information regarding the beacon signals that are regularly sent from wireless anchor infrastructure nodes such as Base Stations (BS) or Access Points (AP). In order to foster research and facilitate fair comparisons among the methods in realistic NLOS heavy conditions, we provide a pathloss radio map dataset based on accurate radio wave propagation simulations along with the corresponding novel ToA radio map dataset generated under realistic urban scenarios and launch the Urban Wireless Localization Competition.
The main task of the competition is to develop highly accurate localization methods which can make use of RSS (pathloss) and ToA measurements. The ranking of the methods is going to be based on the average of their accuracies in NLOS-only and NLOS/LOS-mixed scenarios and under different noise levels on the RSS and ToA measurements.
Organizers: Çağkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire (Technische Universität Berlin, Germany)
Data Competition Website: https://urbanlocalizationcompetition.github.io