Browse > Article
http://dx.doi.org/10.5139/JKSAS.2022.50.8.531

Integrated Algorithm for Identification of Long Range Artillery Type and Impact Point Prediction With IMM Filter  

Jung, Cheol-Goo (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology)
Lee, Chang-Hun (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology)
Tahk, Min-Jea (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology)
Yoo, Dong-Gil (Radar R&D Lab, LIG Nex1)
Sohn, Sung-Hwan (Radar R&D Lab, LIG Nex1)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.50, no.8, 2022 , pp. 531-540 More about this Journal
Abstract
In this paper, we present an algorithm that identifies artillery type and rapidly predicts the impact point based on the IMM filter. The ballistic trajectory equation is used as a system model, and three models with different ballistic coefficient values are used. Acceleration was divided into three components of gravity, air resistance, and lift. And lift acceleration was added as a new state variable. The kinematic condition that the velocity vector and lift acceleration are perpendicular was used as a pseudo-measurement value. The impact point was predicted based on the state variable estimated through the IMM filter and the ballistic coefficient of the model with the highest mode probability. Instead of the commonly used Runge-Kutta numerical integration for impact point prediction, a semi-analytic method was used to predict impact point with a small amount of calculation. Finally, a state variable initialization method using the least-square method was proposed. An integrated algorithm including artillery type identification, impact point prediction and initialization was presented, and the validity of the proposed method was verified through simulation.
Keywords
Interacting Multiple Model Filter; Semi-Analytic Integration; Ballistic Coefficients; Kinematic-Constraint;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Hardiman, D. F., Kerce, J. C. and Brown, G. C., "Nonlinear estimation techniques for impact point prediction of ballistic targets," Signal and Data Processing of Small Targets, Vol. 6236, 2006, pp. 99~110.
2 Uhm, T. W., "Algorithm and simulation system to calculate the impact point of general bomb," Proceeding of Institute of Control, Robotics and Systems Conference, July 2012, pp. 994~1001.
3 Jung, J. K. and Hwang, D. H., "Impact Point Prediction of the Ballistic Target Using a Flight Phase Discrimination," The Korea Institute of Military Science and Technology, Vol. 18, No. 3, 2015, pp. 234~243.   DOI
4 Moon, K. R., Kim, T. H. and Song, T. L., "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, 2012, pp. 363~374.   DOI
5 Chudinov, P. S., "Approximate analytical investigation of projectile motion in a medium with quadratic drag force," International Journal of Sports Science and Engineering, Vol. 5, No. 1, 2011, pp. 27~42.
6 Lee, D. G., Cho, K. S., Shin, J. H. and Kim, J. E., "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, 2014, pp. 265~274.   DOI
7 Jung, J. K. and Hwang, D. H., "The novel impact point prediction of a ballistic target with interacting multiple models," Proceeding of International Conference on Control, Automation and Systems Conference, October 2013, pp. 450~453.
8 Tahk, M. J. and Speyer, J. L., "Target tracking problems subject to kinematic constraints," IEEE transactions on automatic control, Vol. 35, No. 3, 1990, pp. 324~326.   DOI