Robust Filtering for Fine Alignment on the Moving Base for SINS

摘要：

In this paper, Krein space robust filtering for fine alignment on the moving base for Strap-down Inertial Navigation System (SINS) is proposed. The state modeling of SINS with parameter uncertainty is established. The system uncertainty is described through Sum Quadratic Constraint (SQC) which leads to optimization problem of an objective deterministic quadratic form. To handle the optimization, the corresponding formal stochastic system in Krein space is established according to the quadratic form, then the priori and the posteriori estimation recursions of Krein space linear estimation to fine alignment for SINS with time-varying bias is given. Finally, the simulation shows the property of proposed method.

关键词： SINS Moving Base Fine alignment Krein space linear estimation Robust filtering

作者: Kai Yao Qidan Zhu

作者单位: College of Automation, Harbin Engineering University, Harbin, 150001, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 501-504

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）