TY - GEN
T1 - Space-Based Maneuvering Target Tracking Algorithm Based on IMM
AU - Pei, Jidong
AU - Wang, Yandong
AU - Deng, Sirui
AU - Chen, Haipeng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - An improved Interactive Multiple Model Strong Tracking Cubature Kalman Filter (IMMISTCKF) algorithm is proposed to address the tracking problem during maneuvering flight of non-cooperative Boost Glide Vehicles (BGVs). A system motion model is established based on the flight characteristics of BGVs, and an observation model is developed according to the measurement principles of space-based optical sensors. A framework of the algorithm based on Interactive Multiple Models (IMM) is designed, which integrates maneuver models with different maneuver frequencies to achieve adaptive filtering of maneuvering processes without prior information. Fading factors are introduced in the algorithm to enhance its stability. Simulation comparisons of IMMISTCKF with CKF, STCKF, and IMMCKF algorithms demonstrate that the proposed algorithm provides higher accuracy in position and velocity estimation for hypersonic maneuvering target tracking.
AB - An improved Interactive Multiple Model Strong Tracking Cubature Kalman Filter (IMMISTCKF) algorithm is proposed to address the tracking problem during maneuvering flight of non-cooperative Boost Glide Vehicles (BGVs). A system motion model is established based on the flight characteristics of BGVs, and an observation model is developed according to the measurement principles of space-based optical sensors. A framework of the algorithm based on Interactive Multiple Models (IMM) is designed, which integrates maneuver models with different maneuver frequencies to achieve adaptive filtering of maneuvering processes without prior information. Fading factors are introduced in the algorithm to enhance its stability. Simulation comparisons of IMMISTCKF with CKF, STCKF, and IMMCKF algorithms demonstrate that the proposed algorithm provides higher accuracy in position and velocity estimation for hypersonic maneuvering target tracking.
KW - Boost Glide Vehicle (BGV)
KW - Cubature kalman filter (CKF)
KW - Interactive multiple model (IMM)
KW - maneuvering target tracking
UR - https://www.scopus.com/pages/publications/105000254578
U2 - 10.1007/978-981-96-2260-3_16
DO - 10.1007/978-981-96-2260-3_16
M3 - 会议稿件
AN - SCOPUS:105000254578
SN - 9789819622597
T3 - Lecture Notes in Electrical Engineering
SP - 157
EP - 167
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 16
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 -