Integrated Algorithm for Identification of Long Range Artillery Type and Impact Point Prediction With IMM FilterIMM필터를 이용한 장사정포의 탄종 분리 및 탄착점 예측 통합 알고리즘

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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.
Publisher
KOREAN SOC AERONAUTICAL & SPACE SCIENCES
Issue Date
2022-08
Language
Korean
Article Type
Article
Citation

JOURNAL OF THE KOREAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, v.50, no.8, pp.531 - 540

ISSN
1225-1348
DOI
10.5139/JKSAS.2022.50.8.531
URI
http://hdl.handle.net/10203/298115
Appears in Collection
AE-Journal Papers(저널논문)
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