Optimal solutions of unobservable orbit determination problems

Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Scientific paper

The method of data augmentation, in the form ofa priori covariance information on the reference solution, as a means to overcome the effects of ill-conditioning in orbit determination problems has been investigated. Specifically, for the case when ill-conditioning results from parameter non-observability and an appropriatea priori covariance is unknown, methods by which thea priori covariance is optimally chosen are presented. In problems where an inaccuratea priori covariance is provided, the optimal weighting of this data set is obtained. The feasibility of these ‘ridge-type’ solution methods is demonstrated by their application to a non-observable gravity field recovery simulation. In the simulation, both ‘ridge-type’ and conventional solutions are compared. Substantial improvement in the accuracy of the conventional solution is realized by the use of these ridge-type solution methods. The solution techniques presented in this study are applicable to observable, but ill-conditioned problems as well as the unobservable problems directly addressed. For the case of observable problems, the ridge-type solutions provide an improvement in the accuracy of the ordinary least squares solutions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Optimal solutions of unobservable orbit determination problems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Optimal solutions of unobservable orbit determination problems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal solutions of unobservable orbit determination problems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1754204

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.