Information Fusion Algorithms in Ins/Smns Integrated Navigation System

摘要：

　　As the math model and the noise statistical information are difficult to be addressed precisely and the Scene Matching Navigation System (SMNS) output is stochastic,limited and probably mismatching,only a few algorithms suitable for Inertial Navigation System /Scene Matching Navigation System (INS/SMNS) integrated navigation system for information fusion were developed.In order to find new algorithms suitable for this system,this paper studies the issue as follows.Firstly,this paper presents the improved Kalman filter by applying the methods of extrapolation,discretizing system model in unequal interval and eliminating the measurement output delay to the common Kalman filter.Secondly,this paper studies the variable step-size LMS algorithm and nornalized LMS algorithm basing onH ∞ optimal estimation.Lastly this paper applies them to the INS/SMNS integrated navigation.Simulation results demonstrate that they are suitable for INS/SMNS integrated navigation.

关键词： Information fusion Improved Kalman filter Variable step-size LMS Normalized LMS

作者: Xu Jianyuan Zhao Jingjing

作者单位: Shanghai Aircraft Design Research Institute, COMAC,Shanghai, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1368-1372

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）