IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i12p384318.html
   My bibliography  Save this article

A Novel Robust Tracking Algorithm in Cluttered Environments for Distributed Sensor Network

Author

Listed:
  • Yunting Liu
  • Yuanwei Jing
  • Siying Zhang
  • Hui Guo

Abstract

Tracking has attracted much attention over the past few years, particularly in the field of distributed sensor network. The most challenging issue is nonline of sight (NLOS) problem in cluttered environments such as indoor or urban areas since the presence of NLOS errors leads to severe degradation in the tracking performance. In this paper, we propose a novel robust tracking algorithm to mitigate the measurement noise and NLOS error. The robust localization method is firstly employed to estimate the positions of the mobile node with different subgroups. Then the residual test method is used to remove the larger localization error. Finally, the modified Kalman filter is introduced to improve the tracking accuracy. Simulation results show that the proposed algorithm can track the mobile node and estimate the position with relatively higher accuracy in comparison with existing methods.

Suggested Citation

  • Yunting Liu & Yuanwei Jing & Siying Zhang & Hui Guo, 2013. "A Novel Robust Tracking Algorithm in Cluttered Environments for Distributed Sensor Network," International Journal of Distributed Sensor Networks, , vol. 9(12), pages 384318-3843, December.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:12:p:384318
    DOI: 10.1155/2013/384318
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/384318
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/384318?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
    ---><---

    More about this item

    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:sae:intdis:v:9:y:2013:i:12:p:384318. 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.