A Sliding Window Filter for Real-Time Attitude Independent TAM Calibration

被引：7
|
作者：
Grandvallet, B. [1 ]
Zemouche, A. [1 ]
Boutayeb, M. [1 ]
Changey, S. [2 ]
机构：
[1] Univ Henri Poincare, CNRS, CRAN, UMR 7039, F-54400 Cosnes Et Romain, France
[2] French German Res Inst Saint Louis, F-68300 St Louis, France
来源：
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年
关键词：
STATE ESTIMATION;
D O I：
10.1109/CDC.2010.5718124
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with real time Three-Axis Magnetometers (TAM) calibration, applied to gun-launched spinning projectiles. The first part of this note present a new model used for real time estimation without any knowledge of the attitude of the projectile. Then the main contribution is a new simple and useful filter used for parameters estimation. The latter is formulated in the framework of a traditional Extended Kalman Filter (EKF), which include previous measurements in order to increase the performances and stability of the estimator. Finally numerical simulations support the contribution of the presented algorithm, and good performances are shown in a noisy context without requiring many more computation time than for the classical EKF.
引用
收藏
页码：467 / 472
页数：6
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