The introduction of Bluetooth Low Energy (BLE) technology provides new opportunities that the Global Positioning System (GPS) could not provide for indoor localization. In this paper, we introduce a real-time indoor tracking and positioning system using BLE beacon and smartphone sensors. Up to now, most of the system is using Pedestrian Dead Reckoning (PDR). The initial position is considered to have a high impact on the accuracy of PDR, so, based on the analysis of received signal strength (RSS), we present a method to estimate the approximate distance, then, estimate the initial position through Trilateration technique. Next, we propose a lightweight and reliable fingerprint method. This method addresses two problems: (1) to correct errors due to the initial position error and orbital drift of PDR, (2) to reduce the amount of data, number of reference points and collecting data time. The proposed system is implemented on the smartphone as an application. To verify the accuracy of the system, we performed some experiments. The results show that the system not only achieves high accuracy but also the high performance with average complexity and low cost.
Speaker: Dr. Dinh Thi Thai Mai, AVITECH
Time: 15:30, Wednesday, June 10, 2020
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Dr. Dinh Thi Thai Mai graduated from the Post and Telecommunication Institute of Technology, Vietnam, in 2006. She received the master’s degree from Paris Sud 11, France, in 2008, and the Ph.D. degree from the VNU University of Engineering and Technology, Hanoi, Vietnam, in 2016. She is an Assistant Professor with the Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, Hanoi, Vietnam. Her research interests focus on 5G mobile networks, wireless communications, and indoor positioning systems in IoT. Attachments ar