Optimizing T-S fuzzy modeling for performance improvement of Integrated GNSS/MEMS-IMU
Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and vdocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results show the integrated system used the proposed model could keep significant accuracy during 20s GNSS signal outages.
GNSS MEMS IMU T-S Fuzzy
Huang Xun Gao Qi-xiao Liu Ya-li
Electrical and Information Engineenng College Naval University of Engineering Wuhan, China Department of Electrical Naval petty officer Bengbu, China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
311-314
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）