• DocumentCode
    1329009
  • Title

    Relative Navigation Between Two Spacecraft Using X-ray Pulsars

  • Author

    Emadzadeh, Amir Abbas ; Speyer, Jason L.

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Los Angeles, CA, USA
  • Volume
    19
  • Issue
    5
  • fYear
    2011
  • Firstpage
    1021
  • Lastpage
    1035
  • Abstract
    This paper suggests utilizing X-ray pulsars for relative navigation between two spacecraft in deep space. Mathematical models describing X-ray pulsar signals are presented. The pulse delay estimation problem is formulated, and the Cramér-Rao lower bound (CRLB) for estimation of the pulse delay is given. Two different pulse delay estimators are introduced, and their asymptotic performance is studied. Numerical complexity of each delay estimator, and the effect of absolute velocity errors on its performance is investigated. Using the pulsar measurements, a recursive algorithm is proposed for relative navigation between two spacecraft. The spacecraft acceleration data are provided by the inertial measurement units (IMUs). The pulse delay estimates are used as measurements, and based on models of the spacecraft and IMU dynamics, a Kalman filter is employed to obtain the 3-D relative position and velocity. Furthermore, it is shown that the relative accelerometer biases as well as the differential time between clocks can be estimated. Numerical simulations are also performed to assess the proposed navigation algorithm.
  • Keywords
    Kalman filters; X-ray binary stars; accelerometers; astronomical techniques; delay estimation; inertial navigation; position measurement; recursive functions; space vehicles; 3D relative position; Cramer-Rao lower bound; Kalman filter; X-ray pulsar signals; absolute velocity errors; inertial measurement units; pulsar measurements; pulse delay estimation; recursive algorithm; relative accelerometer; relative navigation; spacecraft; Cramer-Rao bounds; Least squares approximation; Maximum likelihood estimation; Navigation; Space vehicles; Epoch folding; X-ray pulsar; maximum likelihood estimation; nonlinear least squares estimation; pulse delay estimation; relative navigation;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2010.2068049
  • Filename
    5580018