A Novel Initial Alignment based on the HMM/steady state KALMAN filter

被引：0

作者：

Ma Xing ^{[1
]}

Zhong Lun-chao ^{[2
]}

Han Jun-li ^{[1
]}

Liu Chang-shun ^{[1
]}

机构：

[1] Special Electromech Res Inst, Beijing 100012, Peoples R China

[2] Beijing Inst Technol, State Key Lab Explos Sci & Technol, Beijing 100081, Peoples R China

来源：

MICRO-NANO TECHNOLOGY XIV, PTS 1-4 | 2013年 / 562-565卷

关键词：

Initial alignment; MEMS acceleration sensor; HMM; steady-state Kalman filter;

D O I：

10.4028/www.scientific.net/KEM.562-565.426

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

In allusion to low accurary and poor stability of the initial alginment based on the acceleration sensor, the HMM (Hidden Marco Model) / steady state Kalman filter is designed to solve the problem above. C8051F340 is used to sample the acceleration data of the WEEMS acceleration sensor Mode11221, then the digital low-pass filter is used to filter the acceleration data. The steady state Kalman filter based on the second order HMM model. The initial alignment algorithm outputs the angle value. The experiments demonstrate that the the HMM / steady state Kalman filter is more stable and more precise than the traditional algorithm.

引用

页码：426 / +

页数：3