摘要
本文以无反馈模式的联邦自适应滤波器为基础 ,构建了SINS/北斗 /星敏感器组合导航系统 .由于组合导航的系统模型参数往往与实际的物理参数有偏差 ,因此在采用常规卡尔曼滤波时 ,组合的效果往往很差 .针对实际系统应用分析了适用于系统噪声阵未知情况下的SalychevO联邦自适应滤波算法 ,仿真表明 ,与修正信息分配系数的联邦自适应滤波方法相比 ,本文的方法更适合于系统状态噪声阵未确定时的滤波系统 。
Based on non-feedback federal filtering, the SINS/Beidou/STAR integrated navi gation system is constructed. Since the systematic model parameter of integrated navigation often deviates from the actual physical parameter, the integrated re sult is poor when normal Karmam filtering is used. According to actual systemati c application, the Salychev O federal filtering algorithm under the condition of unknown systematic noise array is analyzed. Simulation shows that the analysis method presented in this paper has higher precision than the federal adaptive fi ltering using information distribution coefficient adjustment.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第B11期190-194,共5页
Journal of Southeast University：Natural Science Edition
基金
惯性技术预研基金资助项目 (4 13 0 90 3 0 3 0 9) .
关键词
联邦滤波
组合导航
自适应滤波
federal filtering
integrated navigation
adaptive filtering
