This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Estimation and Prediction of Projectile Trajectory, MET Data and Impact Point
Annotation ability available
Sector:
Language:
English
Abstract
In this paper, the problem of estimation and prediction of the projectile trajectory, MET data, and the impact point is formulated within the extended Kalman filtering framework. Factorized implementations of extended Kalman filtering, smoothing, and prediction algorithms are presented. Different wind models are discussed. The algorithms are demonstrated through simulation.
Recommended Content
| Technical Paper | Development of Hermes IMI High Temperature Flexible Insulation |
| Technical Paper | Modeling of a Loop Heat Pipe with Evaporator of Circumferential Vapor Grooves in Primary Wick |
Authors
- Norm Coleman - US Army Armament Research, Development and Engineering Center (ARDEC)
- Pak Yip - US Army Armament Research, Development and Engineering Center (ARDEC)
- Ricky May - US Army Armament Research, Development and Engineering Center (ARDEC)
- Ching-Fang Lin - American GNC Corporation
- Xu Feng - American GNC Corporation
- Tie-Jun Yu - American GNC Corporation
Citation
Coleman, N., Yip, P., May, R., Lin, C. et al., "Estimation and Prediction of Projectile Trajectory, MET Data and Impact Point," SAE Technical Paper 985538, 1998, https://doi.org/10.4271/985538.Also In
References
- Gelb A. Applied Optimal Estimation The MIT Press 1974
- Park P. Kailath T. “New square root algorithms for Kalman filtering,” IEEE Trans. Automatic Control 40 5 895 899 1995
- Feng X. Lin C. F. Yu T. J. Coleman N. May R. “Implementation and Analysis of Target Tracker in Fire Control System,” Proc. of 1998 AIAA Guidance, Navigation and Control Conference August 1998
- Golub G. H. Van Loan C. F. Matrix Computations Johns Hopkins University Press 1983