IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i8p719658.html
   My bibliography  Save this article

Indoor Robot Localization Based on Multidimensional Scaling

Author

Listed:
  • Wei Cui
  • Chengdong Wu
  • Yunzhou Zhang
  • Bing Li
  • Wenyan Fu

Abstract

In pertinence to the application of multidimensional scaling (MDS) methods in ranging-based positioning systems, an analysis is firstly conducted by the classical MDS algorithm. Modified MDS algorithm and subspace method are presented in localization application. We also depicted the unified framework and general solutions of MDS methods. However, the least square solutions under this framework are not optimal. Their performance is still related to selection of coordinate reference points. To address this problem, a minimum residual MDS algorithm based on particle swarm optimization (PSO) is proposed to derive a new solution for indoor robot localization under the unified framework. The result of analysis indicates that the performance of minimum residual MDS method is immune to selection of reference points. Furthermore, the localization accuracy for indoor robot has been enhanced by 41% as compared with the classical MDS algorithm.

Suggested Citation

  • Wei Cui & Chengdong Wu & Yunzhou Zhang & Bing Li & Wenyan Fu, 2015. "Indoor Robot Localization Based on Multidimensional Scaling," International Journal of Distributed Sensor Networks, , vol. 11(8), pages 719658-7196, August.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:8:p:719658
    DOI: 10.1155/2015/719658
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/719658
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/719658?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:11:y:2015:i:8:p:719658. 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.