SEPARATE-BIAS KALMAN ESTIMATOR WITH BIAS STATE NOISE

被引：87
|
作者：
IGNAGNI, MB
机构：
[1] Honeywell Systems and Research Center, Minneapolis
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1990年 / 35卷 / 03期
关键词：
D O I：
10.1109/9.50352
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 problem of estimating a set of dynamic states and a set of slowly varying bias-like states employing a decoupled Kalman estimator approach is addressed. A decoupled estimator structure, suitably modified from that developed by Friedland in dealing with the constant-bias case, is shown to have the potential of essentially optimal performance when the bias vector undergoes limited random variation. © 1990 IEEE
引用
收藏
页码：338 / 341
页数：4
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