@inproceedings{091c006a8b6a42f4b12463d95a614c9b,
title = "An adaptive segmented information fusion method for attitude determination of nano-spacecrafts",
abstract = "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.",
keywords = "Attitude determination, Information fuse, Nano-spacecraft, Optimal REQUEST, UKF",
author = "Wei Quan and Jiancheng Fang and Lei Guo",
year = "2008",
doi = "10.1117/12.807473",
language = "英语",
isbn = "9780819473639",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Seventh International Symposium on Instrumentation and Control Technology",
note = "7th International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration ; Conference date: 10-10-2008 Through 13-10-2008",
}