A KALMAN FILTER ALGORITHM USING A MOVING WINDOW WITH APPLICATIONS

被引：4
|
作者：
WANG, ZO
ZHANG, JP
机构：
[1] Institute of Systems Engineering, Tianjin University, Tianjin
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1995年 / 26卷 / 08期
关键词：
D O I：
10.1080/00207729508929112
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the conditions of using a Kalman filter is to have a precise model. If the precise model does not exist, the precision of the filter will not be guaranteed, and the filter may even diverge. Unfortunately, it is difficult to obtain a precise model. Usually the model is obtained through estimation, therefore due to the accuracy of this estimation, there always exists a difference between the estimated model and the precise model. In order to prevent the filter from divergence and enhance the precision of the tilter, a Kalman filter algorithm using a moving window (KFMW) is derived, and some applications of the KFMW are given in this paper.
引用
收藏
页码：1465 / 1478
页数：14
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