×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
长春光学精密机械与物... [1]
内容类型
会议论文 [1]
发表日期
2010 [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共1条,第1-1条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE)
会议论文
29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China
Huang C.
;
Su W.
;
Liu P.
;
Ma M.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
In order to improve the alignment precision and convergence speed of strap-down inertial navigation system
but in the active system most noise statistical characteristics are unknown
an initial alignment method based on Sage-Husa adaptive filter is presented. We also derived the exactitude alignment error model and adaptive Kalman filter equation in the azimuth of small misalignment angle. As usual
in this case
known the noise statistical characteristics
we introduce the adaptive Kalman filter. It uses the information of observed data
Kalman filter is suitable
on-line estimation noise statistical characteristics and state simultaneously in order to improve the filter continuously
so
the filter has a higher estimation accuracy than the conventional Kalman filter. By simulating verifying
the adaptive Kalman filter enhances the convergence speed and alignment accuracy effectively.
©版权所有 ©2017 CSpace - Powered by
CSpace