Mathematics – Probability
Scientific paper
Jan 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986aiaa.meetq....v&link_type=abstract
AIAA, Aerospace Sciences Meeting, 24th, Reno, NV, Jan. 6-9, 1986. 13 p.
Mathematics
Probability
Astronavigation, Automatic Control, Pattern Recognition, Star Distribution, Star Trackers, Stellar Luminosity, Computer Programs, Interplanetary Spacecraft, Monte Carlo Method, Probability Density Functions
Scientific paper
A quasi-analytical model is presented for calculating the success probability of automated star pattern recognition systems for attitude control of spacecraft. The star data is gathered by an imaging star tracker (STR) with a circular FOV capable of detecting 20 stars. The success potential is evaluated in terms of the equivalent diameters of the FOV and the target star area ('uniqueness area'). Recognition is carried out as a function of the position and brightness of selected stars in an area around each guide star. The success of the system is dependent on the resultant pointing error, and is calculated by generating a probability distribution of reaching a threshold probability of an unacceptable pointing error. The method yields data which are equivalent to data available with Monte Carlo simulatins. When applied to the recognition system intended for use on the Space IR Telescope Facility it is shown that acceptable pointing, to a level of nearly 100 percent certainty, can be obtained using a single star tracker and about 4000 guide stars.
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