• DocumentCode
    1714449
  • Title

    Attitude determination for unmanned aerial vehicles via an antenna array

  • Author

    da Costa, Joao Paulo C. L. ; Schwarz, Stefan ; de A Gadelha, L.F. ; de Moura, H.C. ; Borges, G.A. ; Aramis dos Reis Pinheiro, Luis

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Brasilia (UnB), Brasilia, Brazil
  • fYear
    2012
  • Firstpage
    264
  • Lastpage
    268
  • Abstract
    An accurate and updated estimate of the attitude of Unmanned Aerial Vehicles (UAVs) is crucial for their control and displacement. Errors in the attitude can cause a misuse of the limited energy sources of UAVs or accidents. For the estimation of the attitude, Inertial Measurement Units (IMUs) are widely applied; they are, however, susceptible to inertial guidance error. With antenna arrays currently being incorporated to UAVs to improve their communication with ground stations, we can take advantage of such an antenna array structure in order to estimate the attitude. In this paper, we therefore propose an attitude estimation system based on an antenna array which could be used to improve the estimates of IMUs. We deliver iterative expressions to compute the attitude under usage of the estimated phase delays of the impinging signals over the antenna array. By means of simulations, we show the feasibility of our proposed solution for different SNR levels as well as for multipath scenarios.
  • Keywords
    aerospace instrumentation; antenna arrays; attitude measurement; autonomous aerial vehicles; antenna array structure; attitude determination; attitude estimation system; energy sources; ground stations; impinging signals; inertial guidance error; inertial measurement units; iterative expressions; multipath scenarios; phase delays; unmanned aerial vehicles; Antennas; Conferences; Antenna array; Attitude estimation; Parameter estimation; UAV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Antennas (WSA), 2012 International ITG Workshop on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4577-1923-3
  • Electronic_ISBN
    978-1-4577-1924-0
  • Type

    conf

  • DOI
    10.1109/WSA.2012.6181217
  • Filename
    6181217