An Indoor Positioning Algorithm Based on RSSI Real-time Correction

Abstract

Global Navigation Satellite System (GNSS) cannot achieve accurate positioning and navigation in the indoor environment. Bluetooth Beacon positioning is one of the most widely used technology. Because of the time-varying characteristics of the Bluetooth received signal strength indication (RSSI), traditional positioning algorithms have large ranging errors by using fixed path loss models. In this paper, we proposes a RSSI real-time correction method based on Bluetooth gateway, which is used to detect the RSSI fluctuations of surrounding Bluetooth nodes and upload them to the cloud server. The terminal to be located collects the RSSIs of surrounding Bluetooth nodes, and then adjusted by the RSSI fluctuation information stored on the server in real time. The adjusted RSSIs can be used for calculation and obtain a more accurate distance, i.e., smaller positioning error. Finally, the position of blind nodes is estimated by least squares algorithm. The experiment shows that the proposed method improves the positioning accuracy.