Indoor Positioning Based on the iBeacon Framework with Gaussian Weight Functions

This paper proposes an indoor positioning system based on the iBeacon framework. The proposed positioning scheme is a path loss method which uses the coordinate of transmitters in estimating the receiver's coordinate. To effectively reduce the measurement error due to reflected waves, we introduce a technique to represent the region at which the receiver is likely to exist by using the superposition of several Gaussian functions. The performance of the proposed scheme is experimentally evaluated. The result of experiments indicates that the proposed scheme reduces the estimation error of conventional schemes by 16.5% and effectively bounds the variance of estimation error. In addition, the computation time required for the positioning is less than 20 [ms], which implies that it can be used as a part of indoor location-aware applications.