• DocumentCode
    2129973
  • Title

    Filter design for attitude determination using GPS and gyro: frequency domain approach

  • Author

    Chiang, Y.-T. ; Wu, T.F. ; Chang, F.R. ; Wang, L.S.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    240
  • Lastpage
    245
  • Abstract
    A constant gain estimator is proposed to integrate the GPS and gyro measurements for aircraft attitude determination. Through frequency domain approach, a pair of high pass and low pass filters are employed. Concerning GPS and gyros errors, we apply power spectral density (PSD) properties to select the cut-off frequencies. Once these values are determined, we can derive the associated Kalman gains. Since the PSD specifications of gyros are provided by equipment manufactory, the Kalman gains can be designed in advance. The reduction of the burdens of online computations, which are unavoidable in the traditional Kalman, make our algorithms suitable for real systems. From the assessment of software simulations, the proposed filter is sound and effective
  • Keywords
    Global Positioning System; Kalman filters; aircraft instrumentation; attitude measurement; filtering theory; frequency-domain analysis; gyroscopes; high-pass filters; low-pass filters; spectral analysis; GPS; Global Positioning System; Kalman gains; PSD properties; aircraft attitude determination; constant gain estimator; cut-off frequency determination; filter design; frequency domain approach; gyroscope; high-pass filters; low-pass filters; power spectral density properties; Acoustic noise; Angular velocity; Frequency domain analysis; Global Positioning System; Kalman filters; Low-frequency noise; Position measurement; Quaternions; Satellite broadcasting; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-7306-5
  • Type

    conf

  • DOI
    10.1109/SICE.2001.977840
  • Filename
    977840