A weighted least-squares method using received signal strength measurements for WLAN indoor positioning system

GNSS (Global Navigation Satellite System), which is commonly used for positioning in outdoor environments, cannot be used in indoor environments because of unreachable radio waves. Therefore, the theory and algorithm for wireless indoor positioning systems has been extensively researched. Nevertheless, positioning using radio signals are influenced by multipath propagation and other cause. Therefore, how to approach the optimum location accuracy has been recognized as a difficult task. In this paper, we focus on the Received Signal Strength Indication (RSSI) positioning method of a Wireless Local Area Network (WLAN) system. To improve the positioning accuracy, we developed a simple and efficient positioning algorithm by using a novel weighted least-squares method. From the simulated and experimented results, the proposed method has a higher degree accuracy compared with the conventional methods.