摘要
利用衰减记忆多新息强跟踪反馈校正卡尔曼滤波,设计了无需粗对准的捷联惯导大失准角初始对准算法。采用反馈校正卡尔曼滤波和新息正交性跟踪,将捷联惯导对准前的非线性大失准角快速校正成小失准角,对准过程引入了具有衰减记忆功能的多新息,改善了卡尔曼滤波反馈校正状态跟踪能力。
The large misalignment angle alignment algorithm without the coarse alignment is employed by the Kalman filtering method of the fading memory and multi-innovation strong tracking.It can change the nonlinear large misalignment angle into the small misalignment angle by using the feedback correction Kalman filter and the innovation orthogonality tracking.Also,through introducing the fading memory of multi-innovation,SINS Kalman filter feedback tracking ability is improved.
出处
《压电与声光》
CSCD
北大核心
2017年第4期586-589,共4页
Piezoelectrics & Acoustooptics
关键词
捷联惯导
初始对准
多新息卡尔曼滤波
强跟踪滤波
大失准角
SINS
initial alignment
multi-innovation Kalman filter
strong tracking filter
large misalignment angles