SEPARATE-BIAS KALMAN ESTIMATOR WITH BIAS STATE NOISE

被引：88

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

页码：338 / 341

页数：4