A Novel Fuzzy Pedestrian Dead Reckoning System for Indoor Positioning Using Smartphone

• Published in: 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) pp. 1 - 5
• Main Authors: Chao Li, Jinjun Zheng, Zhuqing Jiang, Xinmeng Liu, Yuying Yang, Beihang Zhang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2015
• Subjects: Acceleration; Dead reckoning; Estimation; Global Positioning System; Legged locomotion; Magnetic sensors
• DOI: 10.1109/VTCFall.2015.7390800

Recently, due to the low accuracy of GPS in indoor environment, many indoor positioning techniques have been researched to provide location-based service for visitors in public buildings such as museums, galleries, etc. But many indoor positioning techniques cannot distinguish human's moving patterns and external infrastructures are needed to improve accuracy. In this paper, a Fuzzy Pedestrian Dead Reckoning (FPDR) system with fuzzy magnetic map matching algorithm is presented. This system only utilizes inertial sensors of smartphone. The fuzzy stride length algorithm in FPDR could handle five different human moving patterns and various ways of holding the phone. Also, walking distances, heading direction and floor of building can be obtained in real time. When the user stops to appreciate showpieces in museums, relevant magnetic data will be collected. The fuzzy magnetic map matching algorithm could calculate the final location with the position from FPDR and the calibration position from magnetic map acquired in advance. The performance of FPDR system is verified via a set of simulations and the error rate is lower than other typical indoor location methods.