Spacecraft attitude estimation from vector observations using a fast particle filter

Advances in the Astronautical Sciences

Volumn 119, Issue SUPPL., 2005, Pages 593-607

  Oshman, Yaakov ^a   Carmi, Avishy ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; EARTH (PLANET); KALMAN FILTERING; MONTE CARLO METHODS; ORBITS; SATELLITE OBSERVATORIES; SPURIOUS SIGNAL NOISE; TRACKING (POSITION); ESTIMATION; GENETIC ALGORITHMS; PROBABILITY DENSITY FUNCTION; ROTATION; SENSORS; SUN; VECTORS;

ATTITUDE ESTIMATION; PARTICLE FILTERS; SPACECRAFT ATTITUDE; VECTOR OBSERVATIONS; EXTENDED KALMAN FILTERS; SUN SENSORS;

SPACECRAFT;

EID: 23844463863     PISSN: 00653438     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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3. Bar-Itzhack, I. Y. and Oshman, Y., "Attitude Determination from Vector Observations: Quaternion Estimation," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-21, No. 1, Jan. 1985, pp. 128-136.
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8. Lefferts, E.J. Markley, F. and Shuster, M., "Kalman Filtering for spacecraft attitude estimation," AIAA Journal on Guidance, Control and Dynamics, Vol. 5, Sep.-Oct. 1982, pp. 417-429.
9. A. Kong, J. L. and Wong, W., "Sequential Imputations and Bayesian Missing Data Problems," Am. Stat. Assoc., Vol. 89, No. 425, 1994, pp. 278-288.
10. Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Company, Reading, Massachusetts, 1989.