Research on WPS/PDR/MM Integrated Algorithm for Pedestrian Navigation and Positioning

Abstract:

In order to solve the discontinuity of navigation and positioning in indoor signal coverage blind areas, and false region judgment caused by positioning error, an integrated method combining Wireless Positioning System (WPS), Pedestrian Dead Reckoning (PDR) and Map Matching (MM) is presented in this paper. By using the combination of Kalman filtered WPS and PDR information, inertial information and geographic information, pedestrian position could be evaluated. Through experiment, this method effectively increased positioning accuracy of the system as well as greatly improved the user experience.

• Periodical: Applied Mechanics and Materials (Volume 437)
• Pages: 870-875
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.437.870
• Online since: October 2013
• Authors: Zhong Liang Deng, Fei Peng Xie*, Yan Pei Yu, Xiao Hong Zhao, Zhuang Yuan
• Keywords: Indoor Positioning, Integrated Navigation, Integrated Positioning, Kalman Filter (KF), Map Matching, Pedestrian Dead Reckoning

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