Pd. Burkhart et Rh. Bishop, ADAPTIVE ORBIT DETERMINATION FOR INTERPLANETARY SPACECRAFT, Journal of guidance, control, and dynamics, 19(3), 1996, pp. 693-701
The interplanetary orbit determination problem has been traditionally
solved using least-squares techniques. Because of the operational limi
tations of this method, a Kalman filter approach has been proposed for
future missions that includes all spacecraft and measurement modeling
states in the filter. The goal is to increase the accuracy of the nav
igation process while utilizing only radiometric (Doppler and range) d
ata. As an extension, an adaptive orbit determination approach (based
on the Magill filter bank) has been developed here to process radiomet
ric data. This adaptive approach can be used to systematically determi
ne the operational filter parameters, which are currently selected usi
ng ad hoc methods, The Mars Pathfinder mission is utilized to demonstr
ate the effectiveness of the adaptive filter bank in determining varia
nces for the process and measurement noise parameters based on the tra
cking data. Error budgets are presented for the range and Doppler case
s, which show nongravitational accelerations and solar radiation press
ure to be the main error sources. Results for the range case show that
the adaptive enhanced filter bank is effective in selecting the noise
variances that match those used to generate the data. Results for the
Doppler case are not as conclusive, resulting primarily from lineariz
ation errors.