Selective Hybrid RSS/AOA Weighting Algorithm for NLOS intra cell Localization

In this paper, we present a selective hybrid weighting approach to intra cell locate a mobile station (MS) when both the range and the angle measurements are corrupted and Non Line-of-Sight (NLOS) are not identified from Line-of-Sight (LOS) measurements. The NLOS effects are minimized by means of proper range scaling use and AOA to the base station correction. The MS location is estimated using weighted ranges and angular beam which produce special points, called potential points. The performance comparisons of the proposed method to other hybrid location methods are investigated in the NLOS environment. It is found that the proposed method can deal with NLOS error effectively making it attractive for location estimation in cellular networks.