• DocumentCode
    2118992
  • Title

    Indoor navigation using WiFi for smartphones: An improved Kalman filter based approach

  • Author

    Chirakkal, Vinjohn V. ; Myungchul Park ; Dong Seog Han

  • Author_Institution
    Kyungpook Nat. Univ., Daegu, South Korea
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    82
  • Lastpage
    83
  • Abstract
    This paper proposes an indoor navigation technique for a smartphone using WiFi. An improved Kalman filter (IKF) is proposed to navigate in dynamic indoor environments with the fingerprinting technique. The results indicate that the IKF shows improved accuracy when compared to the conventional Kalman filter in a real-time scenario.
  • Keywords
    Kalman filters; indoor navigation; smart phones; wireless LAN; IKF; dynamic indoor environments; fingerprinting technique; improved Kalman filter based approach; indoor navigation technique; smartphone; Accuracy; Fingerprint recognition; IEEE 802.11 Standards; Indoor environments; Kalman filters; Navigation; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066328
  • Filename
    7066328