Indoor localization method based on RTT and AOA using coordinates clustering

This paper presents a new hybrid indoor localization method using a coordinate clustering technique. This method exploits two parameters, round-trip time (RTT) and angle of arrival (AOA). The advantage of using RTT measurement is to avoid time synchronization between base stations while the coordinate clustering technique helps restrict the localization process by reducing the number of observations at each coordinate level. On the other hand, no prior mitigation technique is applied if an error occurs in a multipath environment as a result of Non Line Of Sight (NLOS). Based on the results of several experiments, indoor location estimation has been proved to be more accurate in two dimensional (2D) as well as in three dimensional (3D) simulated environments.