基于支持度的MEMS陀螺信息融合方法

Information Fusion of MEMS-gyro Based on Support Degree

为了解决微机械电子系统(MEMS,micro electronic mechanical system)惯性器件测量准确度低、噪声大、长时间单独使用导航误差积累大等缺点,提出了一种MEMS陀螺阵列结构设计,在完成微型惯性测量单元(MIMU,micro inertial measurement unit)的标定后,采用基于支持度的信息融合方法对陀螺阵列输出进行信息融合。试验结果表明:该结构设计和信息融合方法能够有效的提高MIMU的测量准确度,具有一定的工程应用价值。

The MEMS inertial components have some disadvantages such as low-accuracy and big-noise,which can＇t used for navigation alone because of accumulated error.In order to solve this problem,a MEMS-gyro array structure design is proposed.After the calibration of the MIMU,the information fusion algorithm based on support degree is used to deal with the data of the MEMS-gyro array.Experiment results show that this structure design and information fusion method can effectively improve the accuracy of the MIMU,which has some engineering application value.