Spacecraft attitude determination byadaptive Kalman filtering

AIAA Modeling and Simulation Technologies Conference and Exhibit

Volumn , Issue , 2002, Pages

  Ma, Zi ^a,b   Ng, Alfred ^a  

^a CANADIAN SPACE AGENCY   (Canada)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Adaptive kalman filter; Satellite; Simulation; Spacecraft attitude estimation

Indexed keywords

ADAPTIVE KALMAN FILTER; ADAPTIVE TECHNOLOGY; ATTITUDE ESTIMATION; EXTENDED KALMAN FILTERING; NOISE COVARIANCE MATRIX; SIMULATION; SPACECRAFT ATTITUDE DETERMINATION; SPACECRAFT ATTITUDE ESTIMATION;

COMPUTER SIMULATION; COVARIANCE MATRIX; EXTENDED KALMAN FILTERS; SATELLITES; SENSORS;

SPACECRAFT;

EID: 84900104457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Kalman R.E. and Bucy R.S, (1961). New results in linear filtering and predictions theory, Trans ASME (J.Basic Eng.), Vol. 83D, pp 95_108.
2. Jazwinski, A.H (1970). Stochastic Processes and Filtering Theory', New York: Academic.
3. Weiss I. W. (1970). A Survey of dicrete Kalman_Bucy filtering with unknown noise covariance, presented at AIAA Guidence, Control, and Filght Mechanices Conf. pp 17-19.
4. Abramson Jr P.D. (1968). Simultaneous stimation of the state and noise statistics in linear dynamical systems, MIT Experimental Astronomy Lab., ambridge, MA REP. TE-25.
5. Myers K. A. and. Tapley B. D (1976). Adaptive sequential estimation with unknown noise statistics", IEEE Transactions on Automatic Control, AC-21 pp 520-525 1976.
6. Clements R.(1999). Small satellite attitude closed loped control using a Kalman filter estimation, RT-403-99, Instituto de Sistemas de Robotica (ISR), Instituto Superior Tecnico (IST).
7. Hughes P. (1986). Spacecraft Attitude Dynamics, Jone Wiley & Sons.
8. Gemson R.M.O and Ananthasayanam M. R. (1998). Importance of initial state covariance matrix for the parameter estimation using an adaptive expended Lalman filter", AIAA 98 4153, pp 94-98.