TY - GEN
T1 - Ballistic Object Trajectory Separation Point Estimation Using Fourth Order Runge-Kutta Method and Extended Kalman Filter
AU - Yao, Jiaqi
AU - Wu, Qinchen
AU - Wang, Chongze
AU - Sun, Jinping
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Ballistic missiles enter the free-flight phase upon the cessation of their booster engines, traversing the outer atmosphere for approximately 20 minutes. During this period, separation release events occur, deploying multiple warheads and decoys, presenting the optimal window for tracking, identification, and interception. However, due to the curvature of the Earth, it is challenging to ascertain the precise timing of these separation release events until the ballistic target reaches a certain altitude detectable by ground-based radar. This paper proposes a method for estimating the separation point of ballistic objects. Initially, the trajectory information of the warheads and decoys detected by radar is enhanced through Extended Kalman filtering and smoothing to improve trajectory accuracy. Subsequently, employing the fourth-order Runge-Kutta method, trajectory backtracking is initiated from the initial points of the trajectories. The Mahalanobis distance between the trajectories of the decoys and warheads is computed to determine the separation release relationship and estimate the timing of decoy separation release. Simulation results validate the effectiveness of the proposed method.
AB - Ballistic missiles enter the free-flight phase upon the cessation of their booster engines, traversing the outer atmosphere for approximately 20 minutes. During this period, separation release events occur, deploying multiple warheads and decoys, presenting the optimal window for tracking, identification, and interception. However, due to the curvature of the Earth, it is challenging to ascertain the precise timing of these separation release events until the ballistic target reaches a certain altitude detectable by ground-based radar. This paper proposes a method for estimating the separation point of ballistic objects. Initially, the trajectory information of the warheads and decoys detected by radar is enhanced through Extended Kalman filtering and smoothing to improve trajectory accuracy. Subsequently, employing the fourth-order Runge-Kutta method, trajectory backtracking is initiated from the initial points of the trajectories. The Mahalanobis distance between the trajectories of the decoys and warheads is computed to determine the separation release relationship and estimate the timing of decoy separation release. Simulation results validate the effectiveness of the proposed method.
KW - ballistic missile
KW - Extend Kalmen filter
KW - Mahalanobis distance
KW - Runge-Kutta method
UR - https://www.scopus.com/pages/publications/105000934091
U2 - 10.1109/CISP-BMEI64163.2024.10906103
DO - 10.1109/CISP-BMEI64163.2024.10906103
M3 - 会议稿件
AN - SCOPUS:105000934091
T3 - Proceedings - 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024
BT - Proceedings - 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024
A2 - Li, Qingli
A2 - Wang, Yan
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024
Y2 - 26 October 2024 through 28 October 2024
ER -