摘要
为提高在弱可观测条件下滤波器的稳定性,本文把非线性优化方法应用于递推滤波,形成了阻尼的最小二乘迭代滤波算法。同时还得出了该方法的信息平方根滤波形式。
In order to improve the stability of a filter under weak observablecondition,the nonlinear optimization method is used for recursive filteringand a damped least squares iterated filtering algorithm has thus beenderived.The form of information square root filtering of the method ispresented.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
1990年第4期103-108,共6页
Journal of National University of Defense Technology
关键词
非线性
最小二乘滤波
卡尔曼滤波
kalman filtering
nonlinearity
least squares filtering
