• DocumentCode
    616174
  • Title

    Wi-Fi/MARG/GPS integrated system for seamless mobile positioning

  • Author

    Xingchuan Liu ; Qingshan Man ; Henghui Lu ; Xiaokang Lin

  • Author_Institution
    28th Res. Inst., China Electron. Technol. Group Corp., Nanjing, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    2323
  • Lastpage
    2328
  • Abstract
    Providing a seamless, ubiquitous and reliable positioning system based on smartphones plays a critical role in increasing pervasive sensing environments and location-based services (LBS). Although the Global Positioning System (GPS) has been widely used in outdoor environments, indoor/outdoor seamless positioning is still a challenge because of the unavailability of GPS in indoor environment. To solve this problem, an advanced integration of Wi-Fi, MARG (magnetic, angular rate, and gravity sensors) and GPS is presented in this paper. In order to merge there heterogenous but complementary technologies on smarphones, an adaptive integration structure based on Kalman Filter (KF) and Particle Filter (PF) is proposed. Besides, experiments have been carried out in real indoor/outdoor environment to evaluate performance of proposed system. Experimental results indicate a remarkable performance improvement by using the proposed integrated system.
  • Keywords
    Global Positioning System; Kalman filters; magnetic sensors; particle filtering (numerical methods); smart phones; ubiquitous computing; wireless LAN; GPS integrated system; Global Positioning System; Kalman filter; LBS; MARG; Wi-Fi; location based services; magnetic-angular rate-gravity sensors; particle filter; pervasive sensing environments; seamless mobile positioning; smartphones; ubiquitous positioning; Global Positioning System; IEEE 802.11 Standards; Magnetic sensors; Sensor systems; Smart phones; Vectors; Kalman filter; LBS; mobile positioing; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554923
  • Filename
    6554923