TY - GEN
T1 - Optimization for four-sample rotation vector attitude estimation algorithm
AU - Yang, Shuyuan
AU - Li, Baokui
AU - Geng, Qingbo
PY - 2013
Y1 - 2013
N2 - The attitude estimation algorithm is one of the key technologies for precision navigation of strap-down inertial navigation system (SINS). In this paper, a high-precision attitude estimation algorithm is proposed to update the attitude for SINS. Specifically, the proposed algorithm, improved four-sample of double-loop algorithm, (hereinafter referred to as IFSDL) is based on the four-sample rotation vector algorithm and utilizes the double-loop iterative approach. IFSDL makes it possible to improve precision without increasing computational complexity. The advantage ensures it to be competent for the attitude estimation in the case of high maneuver. Under the classical coning motion, this paper analyzes and compares the attitude error of IFSDL with that of conventional four-sample algorithm. Additionally, the drifts reduction ability of IFSDL is verified through theoretical analysis and simulation experiment.
AB - The attitude estimation algorithm is one of the key technologies for precision navigation of strap-down inertial navigation system (SINS). In this paper, a high-precision attitude estimation algorithm is proposed to update the attitude for SINS. Specifically, the proposed algorithm, improved four-sample of double-loop algorithm, (hereinafter referred to as IFSDL) is based on the four-sample rotation vector algorithm and utilizes the double-loop iterative approach. IFSDL makes it possible to improve precision without increasing computational complexity. The advantage ensures it to be competent for the attitude estimation in the case of high maneuver. Under the classical coning motion, this paper analyzes and compares the attitude error of IFSDL with that of conventional four-sample algorithm. Additionally, the drifts reduction ability of IFSDL is verified through theoretical analysis and simulation experiment.
UR - http://www.scopus.com/inward/record.url?scp=84883255614&partnerID=8YFLogxK
U2 - 10.1109/ICICIP.2013.6568158
DO - 10.1109/ICICIP.2013.6568158
M3 - Conference contribution
AN - SCOPUS:84883255614
SN - 9781467362481
T3 - Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013
SP - 672
EP - 676
BT - Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013
T2 - 2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013
Y2 - 9 June 2013 through 11 June 2013
ER -