• DocumentCode
    3527527
  • Title

    Multiagent self-localization using bearing only measurements

  • Author

    Mengbin Ye ; Anderson, B.D.O. ; Changbin Yu

  • Author_Institution
    Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    2157
  • Lastpage
    2162
  • Abstract
    This paper proposes a two stage approach to solving a simple network localization problem arising in the control of multi-vehicle formation shapes using bearing-only measurements. While it is impossible for one agent to localize, in its own coordinate basis, a second agent undergoing arbitrary plane motion using bearing-only measurements, this paper shows how to use a combination of a Fourier Transform and an overdetermined linear system of equations to allow two agents undergoing plane circular motion to localize each other. It is postulated that each agent only knows the parameters fully describing its own motion and must determine enough parameters of the other agent to localize it. A Fourier Transform of the measured bearing is used by each agent to obtain an approximate magnitude of the other agent´s angular velocity and a two-dimensional search grid is used in an overdetermined linear equation system to solve the localization problem. The paper investigates the effect of noise in bearing measurements on the accuracy of the proposed method, offering some potential methods of decreasing the effect of noise.
  • Keywords
    angular velocity; fast Fourier transforms; mobile robots; multi-robot systems; shape control; agent angular velocity; arbitrary plane motion; bearing-only measurements; coordinate basis; fast Fourier transform; linear equation system; multiagent self-localization; multivehicle formation shape control; network localization problem; plane circular motion; two-dimensional search grid; two-stage approach; Accuracy; Angular velocity; Equations; Mathematical model; Noise; Orbits; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760201
  • Filename
    6760201