IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v88y2025i4d10.1007_s11235-025-01357-0.html
   My bibliography  Save this article

UAV-aided vehicle location and velocity estimation using doppler and received signal strength

Author

Listed:
  • Samaneh Motie

    (Qom University of Technology (QUT))

  • Hadi Zayyani

    (Qom University of Technology (QUT))

  • Mohammad Salman

    (American University of the Middle East)

  • Hasan Abu Hilal

    (Higher Colleges of Technology)

  • Mostafa Rashdan

    (American University of the Middle East)

Abstract

In this paper, an Unmanned Aerial Vehicle (UAV)-assisted location and velocity estimation algorithm of a moving land vehicle based on both Received Signal Strength (RSS) and Doppler measurements is proposed. Using RSS measurements in addition to Doppler measurements makes the related Least Square (LS) optimization problem convex and quadratic. Thus, the closed-form solution is obtained by solving a system of linear equations which makes the proposed algorithm efficient. Analysis of the proposed RSS-Doppler algorithm is presented. An uncertainty-like inequality; stating that simultaneous high position and velocity accuracy cannot be achieved is derived and verified by simulations. A modified two-step approach is suggested to first estimate the position accurately by selecting a small time step which leads to inaccurate velocity estimation. Then, the estimated position is utilized to estimate the velocity accurately. The experimental results demonstrate the effectiveness of the proposed algorithm in comparison to the counterparts.

Suggested Citation

  • Samaneh Motie & Hadi Zayyani & Mohammad Salman & Hasan Abu Hilal & Mostafa Rashdan, 2025. "UAV-aided vehicle location and velocity estimation using doppler and received signal strength," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(4), pages 1-9, December.
    • Handle: RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01357-0
    DOI: 10.1007/s11235-025-01357-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-025-01357-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-025-01357-0?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01357-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.