Indoor Positioning Based on Fuzzy Inference Systems and UWB Communications

Indoor positioning technology is receiving increasing attention due to its wide range of practical applications. The Ultra-Wideband (UWB) technology enables high-precision indoor positioning. This study utilizes UWB and the Angle of Arrival (AoA) algorithms to investigate the performance of membership functions with three different input interval sizes-Type I, Type II, and Type III of a Fuzzy Inference System (FIS), within Non-Line-of-Sight (NLOS) environments, on the areas recognition of the indoor target. Experimental results show that, the Type II membership function performs best, achieving an area recognition accuracy of 95.68%.