Computer Science
Scientific paper
Nov 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7129e..87q&link_type=abstract
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Th
Computer Science
Scientific paper
Strapdown stellar-inertial integrated attitude determination based on low-cost micro-electromechanical system (MEMS) gyroscopes and a complementary metal-oxide-semiconductor transistor active pixel star sensor is one of the most effective methods for nano-spacecrafts attitude determination. However, the accuracy of attitude determination is low because of non-linearity of the system. Thus, an adaptive segmented information fusion method based on the UKF is presented by taking UKF+QUEST and UKF+optimal REQUEST as two modes of information fusion that can be adaptively switched between. Initially, the gyro drift estimation error is inaccurate, and the UKF+QUEST mode is adopted to quickly estimate the gyro drifts. When the mean-square error matrix of the UKF tends to stabilization, the information fusion mode is adaptively switched to the UKF+optimal REQUEST dual-filter model. The hybrid simulation results show this method not only has higher accuracy in attitude determination but also can quickly estimate gyro drifts.
Fang Jiancheng
Guo Lei
Quan Wei
No associations
LandOfFree
An adaptive segmented information fusion method for attitude determination of nano-spacecrafts 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 An adaptive segmented information fusion method for attitude determination of nano-spacecrafts, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An adaptive segmented information fusion method for attitude determination of nano-spacecrafts will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1287966