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

摘要：

　　In allusion to low accurary and poor stability of the initial alginment b ased on the acceleration sensor,the HMM (Hidden Marco Model) / steady state Kalman filter is designed to solve the problem above.C8051F340 is used to sa mple the acceleration data of the MEMS acceleration sensor Model1221,then the digital low-pass filter is used to filter the acceleration data.The steady state Kalm an 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.

关键词： Initial alignment MEMS acceleration sensor HMM steady-state Kalm an filter

作者: Ma Xing Zhong Lun-chao Han Jun-li Liu Chang-shun

作者单位: Special Electro-Mechanic Research Institute, BeiJing 100012, China State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 1

会议类型: 国际会议

会议名称: 中国微米纳米技术学会第14届学术年会、第3届国际年会暨第6届微米纳米技术“创新与产业化国际研讨与展览会(CSMNT2012 & ICMAN2012)

会议地点: 杭州

会议语种:英文

页码: 1-5

在线出版日期: 2012-11-04（万方平台首次上网日期，不代表论文的发表时间）