Study of the GM(1,1) Model and Improved Model of the Trend Term of Micromechanical Gyroscope Drift
To improve measure precise of micro inertial integrated navigation system, modified GM(1,1) using exponential smooth is proposed to depict nonstationary random drift signal of micromechanical gyroscope under zero input condition. The model is compared with ones build using linear regression and polynomial regression methods. The experiment and respected simulation results show that the modified GM(1,1) model is better for eliminating the trend term of nonstationary signal and the extracted signal is proved to be zero-mean, normal and stationary random series.
Xuelian Li Yao Sun Hongwei Mo Kejun Wang
Automation College, Harbin Engineering University, Harbin, 150001, China
国际会议
三亚
英文
1271-1273
2009-04-24（万方平台首次上网日期，不代表论文的发表时间）