兵工自动化Issue(1)：65-70,6.DOI:10.7690/bgzdh.2015.01.016
改进的自适应卡尔曼滤波在SINS初始对准中的应用
Application of Improved Adaptive Kalman Filter Algorithm in SINS Initial Alignment
摘要
Abstract
In order to improve the stability of Sage-Husa adaptive filtering, an improved adaptive filtering algorithm that based on UD decomposition was proposed. The measurement noise covariance matrix that online estimated and state estimation error covariance matrix is updating by taking the form of UD decomposition and apply to the strapdown inertial navigation system of stationary base initial alignment model. The results show that when priori covariance matrix and state estimation error covariance matrix have an error, the new filter algorithm can improve the accuracy of the initial alignment.关键词
捷联惯导/初始对准/Sage-Husa自适应滤波/UD分解Key words
SINS/initial alignment/Sage-Husa adaptive filter/UD factorized分类
军事科技引用本文复制引用
何昆鹏,王晓雪,王刚,韩继韬,王晨阳..改进的自适应卡尔曼滤波在SINS初始对准中的应用[J].兵工自动化,2015,(1):65-70,6.基金项目
自然基金(51309059) （51309059）
