NLOS Measurement Identification for Mobile Positioning in Wireless Cellular Systems
Mobile positioning is the very first step toward location-dependent services in wireless cellular systems. When mobile positioning is carried out by trilateration or triangulation, its accuracy is dominantly limited by NLOS (Non-Line-Of-Sight) propagation errors. Therefore, the identification of NLOS measurements is important. In this paper, the authors address this issue by first assuming a statistic model for the NLOS error. Then, by estimating the relevant parameters in this model and comparing them to certain thresholds, they are able to distinguish the NLOS measurements from the LOS (Line-Of-Sight) ones. By simulation, the proposed algorithm is tested and compared to an existing method found in the literature.