Abstract
With the rapid development of network communication technology and intelligent mobile terminals in recent years, location-based services have been more and more widely used in daily life. In order to meet the requirements of high precision, low cost and wide coverage in complex indoor scenes. This paper proposes an indoor pedestrian track tracking method based on the fusion of Wi-Fi signal and PDR(Pedestrian Dead Reckoning, PDR) model based on kalman filter framework. The method combines pedestrian dead reckoning with Wi-Fi location technology to realize pedestrian track tracking. Through experiments, the accuracy of the tracking error within 1m reaches 85%, and the accuracy can reach more than 90% when the tracking error is 1.5m. Based on the comprehensive tracking accuracy, construction cost, robustness and universality of the system, the human trajectory tracking method is better than other common trajectory tracking methods.
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