Advanced SearchSearch Tips
Impact Point Prediction of the Ballistic Target Using a Flight Phase Discrimination
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Impact Point Prediction of the Ballistic Target Using a Flight Phase Discrimination
Jung, JaeKyung; Hwang, DongHwan;
  PDF(new window)
It is required to have the capability to predict the impact point of the ballistic target in order to assign the firing unit with high engagement possibility for the interception in the ballistic target defense systems. In this paper, a novel method is proposed to predict the impact point of the ballistic target using a flight phase discrimination algorithm given the insufficient measurements on the partial trajectory. The flight of a ballistic target is composed of a boost phase and a ballistic phase with different dynamics. The flight phase is discriminated by using the normalized innovation distance between measurements and a priori estimated measurements. The threshold and tolerance in the flight phase discrimination are determined from the probabilistic characteristics of the estimation error. Monte Carlo simulations are performed to verify the proposed method.
Ballistic Target;Impact Point;Flight Phase Discrimination;Extended Kalman Filter;
 Cited by
Y. S. Kwon and B. S. Choi, "Analysis of the Flight Trajectory Characteristics of Ballistic Missiles," MORSK, Vol. 32, No. 1, pp. 176-187, 2006.

Y. H. Lee, "A Study on the Characteristics of the Flight Trajectory of Ballistic Missiles," MORSK, Vol. 4, No. 4, pp. 62-77, 1998.

D. K. Ko, "Technology Trend of the Short-range Ballistic Missiles," Defense & Technology, No. 335, pp. 92-101, 2007.

D. G. Lee, K. S. Cho, J. H. Shin, and J. E. Kim, "An Analysis Study about relationship between Ballistic Coefficient and Accuracy of Predicted Intercept Point of Super-High Speed Targets," Journal of the Korea Institute of Military Science and Technology, Vol. 17, No. 2, pp. 265-274, 2014. crossref(new window)

P. Zarchan, Tactical and Strategic Missiles Guidance, AIAA Inc., Fourth Edition, 2002.

Y. Bar-Shalom, X. Rong Li, and Thiagalingam Kirubarajan, Estimation with Application to Tracking and Navigation : Theory, Algorithm and Software, John Wiley & Sons, 2001.

T. Yuan, Y. B. Shalom, P. Willett, and D. Hardiman, "Impact Point Prediction for Short Range Thrusting Projectiles," Proc. of SPIE Conf. Signal and Data Processing of Small Target, #7698-55, Orlando, FL, 2010.

J. K. Jung and D. H. Hwang, "The Novel Impact Point Prediction of a Ballistic Target with Interacting Multiple Models," Proc. of ICCAS 2013 Conf., GwangJu, Korea, pp. 450-453, 2013.

K. R. Moon, T. H. Kim, and T. L. Song, "Comparison of Ballistic-Coefficient-Based Estimation Algorithms for Precise Tracking of a Re-Entry Vehicle and its Impact Point Prediction," Journal of Astronomy and Space Sciences, Vol. 29, No. 4, pp. 363-374, 2012. crossref(new window)

A. Farina, L. Timmoneri, and Vigilante, "Classification and Launch-Impact Point Prediction of Ballistic Target via Multiple Model Maximum Likelihood Estimation(MM-MLE)," Proc. of 2006 IEEE Radar Conf. Verona NY, pp. 802-806, 2006.

P. S. Maybeck, Stochastic Models, Estimation, and Control, Vol. 1, New York: Academic Press, 1982.

M. S. Grewal and A. P. Andrews, Kalman Filtering Theory and Practice Using MATLAB, 2nd Edition, John Wiley & Sons, Inc., 2001.