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Received Signal Strength (RSS) fingerprinting based WiFi localization systems has been widely studied in recent years for indoor scenarios, whose accuracy is closely related to the reliability of the database. To attain satisfactory performance, the database needs to be updated timely to compensate for changes in the environment. In this work, we propose a rank fingerprinting based localization system,...
Fingerfrinting based WiFi positioning approach needs an off-line training phase to build a radio map with received signal strength indication vector of each reference point. In existing systems, this training phase may cost a tremendous amount of workload to achieve satisfying location result. To cut down on the workload notably and guarantee the location result in the meantime, we will introduce...
In this paper, an improved indoor localization method based on smartphone inertial sensors is presented. Pedestrian dead reckoning (PDR), which determines the relative location change of a pedestrian without additional infrastructure supports, is combined with a floor plan for a pedestrian positioning in our work. To address the challenges of low sampling frequency and limited processing power in...
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