摘要
Kalm an滤波方法是理论成熟和工程应用广泛的估计方法。但在工程实际中 ,因原始数据质量和各种初始条件的变化 ,Kalman滤波经常出现不收敛的现象 ,尽管理论上有许多克服滤波发散的机制 ,但工程应用效果并不明显。本文从数据残差入手 ,提出了改进增益矩阵的滤波方法。经仿真计算证明 ,该方法有效的解决了滤波发散问题 ,并极大的提高了估计精度。
Kalman is an estimate method,which is based on mature theory and applied to engineering extensively.But in engineering practice,Kalmam filtering is frequently divergent because of the low quality of original data and the conditions.Although there are so many approaches in theory to overcome the divergence problem,but the results are not tangible.This paper proposed a method based on data residual to solue the problem of filtering divergence effectively by modifying the supplement matrix.The simulation demonstrates that the method can improve the processing accuracy greatly.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2002年第3期44-47,共4页
Journal of Astronautics
基金
国家自然科学基金资助项目 (199710 65 )
