Simple Angle-of-Arrive Based Algorithm for Indoor Positioning in 5G Systems

The problem of User Equipment (UE) positioning in indoor 5G network is considered. The traditional approach to this problem suggests using the Time-of-Arrive (ToA) measurements. However, angular-based approach has advantages in some scenarios, so the angle-of-arrive (AoA) based positioning is proposed. To perform the AoA estimation, the application of simple but robust Bartlett beamformer is justified. As the next step, the positioning based on the least square (LS) estimator is studied. Beyond that, given the number of reference points used for positioning is limited to three, the alternative analytical solutions are introduced. These solutions coincide with the special points of the bearing triangle. It is shown that the incenter of the bearing triangle provides the best performance and can be proposed as an alternative to the LS solution.