IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i3p1550147718767371.html
   My bibliography  Save this article

Passive localization of signal source based on wireless sensor network in the air

Author

Listed:
  • Pengwu Wan
  • Yongjing Ni
  • Benjian Hao
  • Zan Li
  • Yue Zhao

Abstract

Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. To accurately locate the signal source passively in the downtown area, sensors are carried on the unmanned aerial vehicles flying in the air, where the wireless sensor network can be established with an optimal geometry configuration conveniently. In this case, the influence of multipath fading can be avoided and the time difference of arrival measurement can be estimated precisely in Rician channel. By employing the operating center as a calibration source to refine the positions of the unmanned aerial vehicles, we present a simplified formulation of the time difference of arrival localization method according to the min-max criterion. To accurately estimate the position of the source, the nonlinear equations are relaxed using semidefinite programming to obtain an initial solution, which is utilized as the starting point of the iterative algorithm to refine the solution. In the simulation section, the validity and the robustness of the proposed methods are verified through the performance comparison with the Cramer–Rao lower bound.

Suggested Citation

  • Pengwu Wan & Yongjing Ni & Benjian Hao & Zan Li & Yue Zhao, 2018. "Passive localization of signal source based on wireless sensor network in the air," International Journal of Distributed Sensor Networks, , vol. 14(3), pages 15501477187, March.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:3:p:1550147718767371
    DOI: 10.1177/1550147718767371
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718767371
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147718767371?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:14:y:2018:i:3:p:1550147718767371. 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.