References
- D. H. Han, D. G. Lee, T. L. Song, and Y. J. Lee, "Study on ballistics calculation technique using numerical method," Proc. of the 5thseminaron Naval Weapon Systems Development, Agency for Defense Development, Jinhae, pp. 300-305, 2004.
- I. H. Hwang and W. S. Na, "Ship motion estimation and prediction for ship-borne weapon systems," Proc. of Korean Institute of Electrical Engineers 2006 Summer Annual Conference, KIEE (Korean Institute of Electrical Engineers), Yongpyeong, pp. 1797-1798, 2006.
- X. Zhao, R. Xu, and C. Kwan, "Ship-motion prediction: algorithms and simulation results," Proc. of 2004 IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, vol. 5, pp. V-125-8, 2004.
- M. S. Triantafyllow, M. Bodson, and M. Athans, "Real time estimation of ship motion using Kalman filtering technique," IEEE Journal on Oceanic Engineering, vol. OE-8, pp. 9-20, 1983.
- G. Prado, "Optimal estimation of ship's attitudes and attitude rates," IEEE Journal on Oceanic Engineering, vol. OE-4, no. 2, pp. 52-59, 1979.
- J. M. J. Journee and W. W. Massie, OFFSHORE HYDROMECHANICS, Delft University of Technology, 2001.
- T. I. Fossen and O. Fjellstad, "Nonlinear modelling of marine vehicles in 6 degrees of freedom," Journal of Mathematical Modelling of Systems, vol. 1, no. 1, pp. 1-11, 1995. https://doi.org/10.1080/13873959508837002
- S. P. Kim, MATLAB Application - Principles of Kalman Filter, AJIN, Seoul, 2012.
- D. H. Kook, "Fire control system improvement with application to firing while transfer for a tracked anti-air gun," Master Thesis, Hanyang University, 2005.