A Novel Unified Trilateration Method for RSSI based Indoor Localization

Abstract

Indoor positioning exploiting RSSI has been widely used due to the advantages of its ease of installation and low cost among lots of indoor localization technologies. Trilateration, which is commonly employed to estimate the location in such an indoor environment, has a constraint that three circles must meet at one point, so many modification algorithms have been studied to compensate for this. However, in most of the existing methods, different algorithms are individually applied to estimate the location for each of the various cases where the three circles do not meet at one point. In this paper, unlike conventional methods, we propose a new unified trilateration method that can be consistently applied to all cases whether the three circles meet at one point or not. We verify the performance of the proposed algorithm through the Monte Carlo simulation.