TY - GEN
T1 - Filtering algorithm of MEMS gyroscope based on swing Markov Interacting Multiple Models
AU - Lu, Xiaodong
AU - Zhou, Jun
AU - He, Yuanjun
PY - 2010
Y1 - 2010
N2 - MEMS gyroscope is increasingly becoming important due to its advantages such as small, inexpensive, low power and reliable. However the accuracy of MEMS gyroscope is insufficient for many attitude determination applications as the large inherent noise. So many filtering algorithms are applied into the attitude compensations for MEMS gyroscopes, which are based on the assumption that the motions of attitude are relatively slow in a sampling interval. Unfortunately the assumption is unacceptable in the case of attitude motion with high frequency oscillations. This paper introduced Swing Markov model into describing the attitude oscillations and proposed Swing Markov Interacting Multiple Models (IMM) to establish the combinational filter for MEMS gyroscope. As Swing Markov model is correspond with the attitude oscillations, the results of simulation indicated the efficiency and accuracy of the proposed algorithm.
AB - MEMS gyroscope is increasingly becoming important due to its advantages such as small, inexpensive, low power and reliable. However the accuracy of MEMS gyroscope is insufficient for many attitude determination applications as the large inherent noise. So many filtering algorithms are applied into the attitude compensations for MEMS gyroscopes, which are based on the assumption that the motions of attitude are relatively slow in a sampling interval. Unfortunately the assumption is unacceptable in the case of attitude motion with high frequency oscillations. This paper introduced Swing Markov model into describing the attitude oscillations and proposed Swing Markov Interacting Multiple Models (IMM) to establish the combinational filter for MEMS gyroscope. As Swing Markov model is correspond with the attitude oscillations, the results of simulation indicated the efficiency and accuracy of the proposed algorithm.
KW - Attitude filtering algorithm
KW - Interacting Multiple Models
KW - MEMS gyroscope
KW - Swing Markov model
UR - https://www.scopus.com/pages/publications/79952213763
U2 - 10.1109/iCECE.2010.257
DO - 10.1109/iCECE.2010.257
M3 - 会议稿件
AN - SCOPUS:79952213763
SN - 9780769540313
T3 - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
SP - 1014
EP - 1017
BT - Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010
T2 - International Conference on Electrical and Control Engineering, ICECE 2010
Y2 - 26 June 2010 through 28 June 2010
ER -