Unscented Filtering for Spacecraft Attitude Estimation

@inproceedings{Crassidis2003UnscentedFF,
  title={Unscented Filtering for Spacecraft Attitude Estimation},
  author={John L. Crassidis and F. Landis Markley},
  year={2003}
}
A new spacecraft attitude estimation approach based on the Unscented Filter is derived. For nonlinear systems the Unscented Filter uses a carefully selected set of sample points to more accurately map the probability distribution than the linearization of the standard Extended Kalman Filter, leading to faster convergence from inaccurate initial conditions in attitude estimation problems. The filter formulation is based on standard attitude-vector measurements using a gyro-based model for… CONTINUE READING
Highly Influential
This paper has highly influenced 52 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 413 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 292 extracted citations

414 Citations

02040'05'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 414 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Satellite Quaternion Estimation from Vector Measurements with the Two-Step Optimal Estimator,

  • N J.
  • AAS Guidance and Control Conference,
  • 2002

The Scaled Unscented Transformation,

  • S. J. 15Julier
  • Proceedings of the American Control Conference,
  • 2002

Spacecraft Attitude Determination Using the Bortz Equation,

  • M. E. 4Pittelkau
  • AAS/AIAA Astrodynamics Specialist Conference…
  • 2001

A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators,

  • S. J. 8Julier, J. K. Uhlmann, H. F. Durrant-Whyte
  • IEEE Transactions on Automatic Control , Vol. AC…
  • 2000

Attitude-Determination Filtering via Extended Quaternion Estimation,

  • M L.
  • Journal of Guidance, Control, and Dynamics ,
  • 2000

Similar Papers

Loading similar papers…