Vitaly Romanov and Giancarlo Succi, Innopolis University, Russia

Traditionally, positioning in WLAN was associated with some issues. The presence of the multipath forced researchers to resort to fingerprinting based positioning techniques that inherently require extensive site surveying and the abundance of reference signals. However, if we consider WiFi data for the task of crowd analysis, the data should be collected on the side of the network provider and, in this case, it is usually scarce. Thus, methods that require fewer reference signals for positioning are needed. This paper provides the comparison of WLAN based positioning methods that can operate with a single AP.

Localization, Wireless, WiFi, Mobility Tracking, Mobile Users.