• DocumentCode
    2436055
  • Title

    Bias estimation of magnetometer using genetic algorithm

  • Author

    Kim, Eunghyun ; Bang, Hyo-choong

  • Author_Institution
    Korea Aerosp. Res. Inst., Daejeon
  • fYear
    2007
  • fDate
    17-20 Oct. 2007
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    A number of algorithms have been proposed for estimating the magnetometer bias without the spacecraft attitude knowledge. The simplest is the scalar checking which minimizes the differences in the squares of the magnitudes of the measured and modeled magnetic fields. This approach is that the cost function is presented as forth order equation with respect to the magnetometer bias and therefore is required to find global minimum. Magnetometer bias estimation using the genetic algorithm was proposed. New estimation method was the same structure like TWOSTEP. The genetic algorithm provides the initial estimate to find the final solution. The proposed bias estimation using genetic algorithm was compared with other optimization algorithm like the gradient method and TWOSTEP.
  • Keywords
    estimation theory; genetic algorithms; magnetometers; space vehicles; bias estimation; cost function; forth order equation; genetic algorithm; magnetometer; scalar checking; spacecraft; Coordinate measuring machines; Cost function; Equations; Gaussian noise; Genetic algorithms; Magnetic field measurement; Magnetometers; Noise measurement; Space vehicles; Time measurement; Bias; Estimation; Genetic Algorithm; Magnetometer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2007. ICCAS '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-6-2
  • Electronic_ISBN
    978-89-950038-6-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2007.4406907
  • Filename
    4406907