Virtual measurements for nonlinear filters

被引：0
|
作者：
Daum, F [1 ]
机构：
[1] Raytheon Co, Marlborough, MA 01752 USA
来源：
PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The method of virtual measurements (MOVM) will be described for designing nonlinear filters. The new nonlinear filter theory generalizes the Kalman filter, and in some important applications, the performance of the new filter is vastly superior to the extended Kalman filter (EKF). Unlike the EKF, the new theory does not use linearization. The new design approach, MOVM, can be applied to exact nonlinear filters as well as nonlinear approximate filters.
引用
收藏
页码：1657 / 1662
页数：6
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