• DocumentCode
    116745
  • Title

    Localization algorithm for GSM mobiles based on RSSI and Pearson´s correlation coefficient

  • Author

    Yunzhou Zhang ; Huiyu Liu ; Wenyan Fu ; Aichun Zhou ; Liang Mi

  • Author_Institution
    Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    284
  • Lastpage
    285
  • Abstract
    For GSM localization, an algorithm is developed with received signal strength indication(RSSI) and Pearson´s correlation coefficient. Based on Cell-Id method. Redundant information from seven base stations is fully utilized to strengthen the localization accuracy. Our method does not need additional device or prior statistical knowledge. Simulation and field experiment are implemented for performance verification. Compared with typical algorithms such as Cell-Id and the Minimum Variance Localization, our proposed algorithm can achieve better accuracy.
  • Keywords
    cellular radio; correlation methods; statistical analysis; GSM localization; GSM mobiles; Pearson correlation coefficient; RSSI; cell-Id method; localization algorithm; received signal strength indication; redundant information; statistical knowledge; variance localization; Accuracy; Base stations; GSM; Hidden Markov models; Interference; Mobile communication; Performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2014 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4799-1290-2
  • Type

    conf

  • DOI
    10.1109/ICCE.2014.6776006
  • Filename
    6776006