• DocumentCode
    3762883
  • Title

    RSSI optimization method for indoor positioning systems

  • Author

    Youssef Aiboud;Issam Elhassani;Hafid Griguer;M´hamed Drissi

  • Author_Institution
    SMARTi-Lab, EMSI-Rabat, Morocco
  • fYear
    2015
  • Firstpage
    246
  • Lastpage
    248
  • Abstract
    The aim of this study is to develop a new method for optimizing Received Signal Strength Indicator (RSSI) vaguely used in Indoor Positioning Systems and to compare it to other existing methods. Adaptive filtering, such as Kalman filter, are one of the most used methods for RSSI filtering alongside the median filter. Our approach is to use a new algorithm that restricts the RSSI fluctuation in short periods of time to a changing median range that is calculated based on pervious states. The implementation of the new algorithm is done on Matlab IDE.
  • Keywords
    "Kalman filters","Received signal strength indicator","Adaptive filters","Filtering algorithms","Prediction algorithms","MATLAB"
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics (ICM), 2015 27th International Conference on
  • Electronic_ISBN
    2159-1679
  • Type

    conf

  • DOI
    10.1109/ICM.2015.7438034
  • Filename
    7438034
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3762883