Seven State Kalman Filtering for LEO Microsatellite Attitude Determination

被引：0
作者：
Mohammed, A. M. Si [1 ]
Benyettou, M. [2 ]
Boudjemai, A. [1 ]
Hashida, Y. [3 ]
机构：
[1] Ctr Natl Tech Spatiales, Div Mecan Spatiale, 1 Ave Palestine, Arzew, Algeria
[2] Univ Sci Technol, Lab Modelisat Simulat, Oran, Algeria
[3] Surrey Satellite Technol Ltd, Surrey, England
来源：
ISPRA '09: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, ROBOTICS AND AUTOMATION | 2010年
关键词：
LEO; Microsatellite; Attitude; Kalman; Filtering; VECTOR OBSERVATIONS;
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 attitude determination and control subsystem (ADCS) requirement of payload on the Algerian satellite is stringent enough to demand some type of data processing in order to meet attitude determination requirements. This paper details one data filter, the Kalman filter, and more specifically, the 7-state Kalman filter. For the 7-state filter, the state vector defines not only the attitude of the satellite, but also the rates at which the attitude is changing. This paper examines the seven state Kalman filter from a theoretical standpoint before examining practical implementation.
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页码：151 / +
页数：2
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