Abstract
To improve the accuracy of indoor positioning for location-based services, we created an improved WiFi/PDR integrated positioning and navigation system where we are using Extended Kalman filter (EKF). The proposed algorithm first relies on MEMS in our mobile phone to estimate the velocity and headin
Highlights
In 1996, the United States Federal Communications Commission (FCC) mandated that all mobile operators must adopt some method to provide their current location information to users who calls 911, promoting the emergence of location services
This paper proposes an indoor Wi-Fi/Pedestrian Dead Reckoning (PDR) integrated algorithm for 3D localization in a multi-floor environment aiming at the shortcomings of the existing positioning technology
This paper presented an improved WiFi/PDR integrated system using an Extended Kalman filter to obtain more accurate position information for indoor localization, for a multi-floor environment
Summary
In 1996, the United States Federal Communications Commission (FCC) mandated that all mobile operators must adopt some method to provide their current location information to users who calls 911, promoting the emergence of location services. The main method of location-based service is to determine the user's geographical location information through the network and provide the location related information service for the user. With the development of science and technology, the widespread use of various intelligent terminals, location-based services have attracted more and more attention, and has proved its importance in commercial fields, civilian, and military. Indoor positioning capabilities provide important benefits in law enforcement, rescue services, and fire services i.e. location detection of firemen in a building on fire. The police benefits from several relevant applications, such as instantaneous detection of theft or burglary, detection of the location of police dogs trained to find explosives in a building, locating and recovery of stolen products for postincident investigations, crime scene recovery, statistics and training and in the prevention of crime, e.g. with tagged
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