Impact Point Prediction of the Ballistic Target Using a Flight Phase Discrimination |
JaeKyung Jung, DongHwan Hwang |
1The 1st Research and Development Institute, Agency for Defense Development 2Department of Electronics Engineering, Chungnam National University |
비행단계 식별 알고리즘을 이용한 초고속 표적의 탄착점 예측 |
정재경, 황동환 |
1국방과학연구소 제1기술연구본부 2충남대학교 전자공학과 |
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Abstract |
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. |
Key Words:
Ballistic Target, Impact Point, Flight Phase Discrimination, Extended Kalman Filter |