IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i12p1550147717747858.html
   My bibliography  Save this article

The statistical analysis of IEEE 802.11 wireless local area network–based received signal strength indicator in indoor location sensing systems

Author

Listed:
  • Yan Wang
  • Min Li
  • Mu Li

Abstract

Global positioning system is an important space information network for location service. However, the satellite signal is attenuated or even blocked in indoor environment. To make up for the defect of global positioning system, IEEE 802.11 wireless local area network (Wi-Fi) infrastructure is proposed to relay the task of positioning in indoor scenario with their superiority of being widely deployed. In Wi-Fi indoor localization application, received signal strength indicator is the most prevalent parameter. From the former literature, it was supposed to be Gaussian distribution. In this article, we first formulate the received signal in a multipath channel based on the IEEE 802.11 standard, then we derive the probability density function of received signal strength indicator and it is proved to be a noncentral Chi-square distribution. Finally, the correctness of the distribution is verified from the aspect of noncentral parameter in an experiment system.

Suggested Citation

  • Yan Wang & Min Li & Mu Li, 2017. "The statistical analysis of IEEE 802.11 wireless local area network–based received signal strength indicator in indoor location sensing systems," International Journal of Distributed Sensor Networks, , vol. 13(12), pages 15501477177, December.
  • Handle: RePEc:sae:intdis:v:13:y:2017:i:12:p:1550147717747858
    DOI: 10.1177/1550147717747858
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717747858
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147717747858?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:13:y:2017:i:12:p:1550147717747858. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.