A method of trajectory estimation and prediction using extended kalman filter based on GPS data

Pian Zhou, Qiang Shen, Dong Guang Li*, Deng Hong Yang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

The prediction of projectile impact point is one of the key technologies in the trajectory correction. Accuracy and computational cost of impact point prediction are the main indicators of the technology. To estimate the trajectory state parameters and compensate errors, a kind of rapid and accurate impact point prediction method is proposed which uses the GPS data and the extended Kalman filter based on the modified point-mass trajectory model. The modified point mass trajectory model includes only the most essential forces and moments, but adds rotation speed which makes it suitable for impact point prediction of spin-stabilized projectile. Typical Monte Carlo simulation results of a long-range trajectory of an indirect fire spin-stabilized round show that this method can remove most of the initial errors and predict the impact point of the projectile accurately.

源语言英语
主期刊名Interior Ballistics, Exterior Ballistics, Launch Dynamics, Vulnerability and Survivability, Explosion Mechanics
编辑Matthias Wickert, Manfred Salk
出版商DEStech Publications Inc.
245-250
页数6
ISBN(电子版)9781605951065
出版状态已出版 - 2013
活动27th International Symposium on Ballistics, BALLISTICS 2013 - Freiburg, 德国
期限: 22 4月 201326 4月 2013

出版系列

姓名Proceedings - 27th International Symposium on Ballistics, BALLISTICS 2013
1

会议

会议27th International Symposium on Ballistics, BALLISTICS 2013
国家/地区德国
Freiburg
时期22/04/1326/04/13

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引用此

Zhou, P., Shen, Q., Li, D. G., & Yang, D. H. (2013). A method of trajectory estimation and prediction using extended kalman filter based on GPS data. 在 M. Wickert, & M. Salk (编辑), Interior Ballistics, Exterior Ballistics, Launch Dynamics, Vulnerability and Survivability, Explosion Mechanics (页码 245-250). (Proceedings - 27th International Symposium on Ballistics, BALLISTICS 2013; 卷 1). DEStech Publications Inc..