TY - GEN
T1 - IMM-Based Ballistic Retracing Method for the Boost-Phase of Ballistic Vehicles
AU - Zhou, Yinghe
AU - Zhou, Jun
AU - Guo, Jianguo
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - To estimate the launch point of a non-cooperative ballistic vehicle more accurately, a ballistic retracing method for the boost-phase based on the Interactive Multi-Model algorithm and the Unscented Kalman Filtering algorithm is proposed in this paper, which can estimate its previous ballistic based on the measurement information of the boost-phase. Firstly, two dynamics models are built according to the flight characteristics of each sub-phases in the boost-phase, especially the angle-of-attack turning phase, which no one has paid attention to before. A ballistic retracing method based on the UKF algorithm is proposed for the case of certainty flight phase. Then for the more realistic situation where the flight phases are uncertainty at the time of measurement, a ballistic retracing method is proposed based on IMM and UKF algorithm, which combines the retracing problems of different phases to obtain the complete boost-phase ballistic of the target vehicle directly. Finally, the proposed method is validated by simulation, and the simulation results confirm the effectiveness of the proposed method and the accuracy of ballistic retracing and launch point estimate is greatly improved compared with previous ballistic retracing methods.
AB - To estimate the launch point of a non-cooperative ballistic vehicle more accurately, a ballistic retracing method for the boost-phase based on the Interactive Multi-Model algorithm and the Unscented Kalman Filtering algorithm is proposed in this paper, which can estimate its previous ballistic based on the measurement information of the boost-phase. Firstly, two dynamics models are built according to the flight characteristics of each sub-phases in the boost-phase, especially the angle-of-attack turning phase, which no one has paid attention to before. A ballistic retracing method based on the UKF algorithm is proposed for the case of certainty flight phase. Then for the more realistic situation where the flight phases are uncertainty at the time of measurement, a ballistic retracing method is proposed based on IMM and UKF algorithm, which combines the retracing problems of different phases to obtain the complete boost-phase ballistic of the target vehicle directly. Finally, the proposed method is validated by simulation, and the simulation results confirm the effectiveness of the proposed method and the accuracy of ballistic retracing and launch point estimate is greatly improved compared with previous ballistic retracing methods.
KW - boost-phase modeling
KW - Interactive Multi-Model filter
KW - launch point estimation
KW - trajectory estimate
KW - Unscented Kalman Filter
UR - http://www.scopus.com/inward/record.url?scp=105006457538&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-2232-0_2
DO - 10.1007/978-981-96-2232-0_2
M3 - 会议稿件
AN - SCOPUS:105006457538
SN - 9789819622313
T3 - Lecture Notes in Electrical Engineering
SP - 11
EP - 21
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 9
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -