An Improved PDR/WiFi Integration Method for Indoor Pedestrian Localization

Pedestrian dead reckoning (PDR) and WiFi fingerprint localization technologies have been widely used in the field of indoor localization. To reduce the limitation of the single localization technology, the PDR/WiFi integration method has become a widely accepted indoor localization solution. For indoor pedestrian real-time tracking and localization, due to the short time available to collect the received signal strength (RSS) and the high fluctuation of RSS, using only the RSS measurements as the RSS information will cause great localization errors. Therefore, this paper proposes an improved PDR/WiFi integration method to address the fluctuation problem of RSS for indoor pedestrian localization. The experimental results show that the localization accuracy of the proposed method outperforms the traditional PDR/WiFi integration method.