A six-antenna station based indoor positioning system

This study develops an intelligent wireless indoor positioning system (IPS), which includes new beam antenna design and modified probabilistic neural network based positioning algorithm. The six directional antennas can obtain the angle between an object and the station. Then, a modified probabilistic neural network is applied to estimate the accurate position of the object with the signal strength. The developed IPS architecture has the average error of less than 0.8 meters in the eight square meter indoor scene. This indoor positioning scheme is not only has high positioning accuracy, but also can be an effective solution to solve the difficult issue of positioning station deployment.