An IMM Algorithm for Tracking GEO Maneuvering Target with Hybrid Thrust

Aiming at the problems of difficult model matching, approximate average of model transition probability and low response speed when solving the hybrid thrust maneuvering target tracking problem of the geostationary, satellites with the interactive multi-model (IMM) algorithm, an improved IMM algorithm is proposed from two aspects of interactive model set construction and adaptive model transition probability design. By considering three modes of non-maneuvering, impulse maneuvering and limited thrust maneuvering, the method constructs an interactive model set covering the maneuvering states of the target, which improves the matching degree between the model and the actual operating state of the maneuvering target. A model interaction probability correction method based on the adaptive correction of acceleration estimation is adopted, which improves the response speed and tracking accuracy of the algorithm to the target maneuvering state. The simulation results show that the algorithm proposed in this paper is an effective method to solve the GEO maneuvering target tracking problem in the hybrid thrust mode, and it has a great improvement in convergence speed and accuracy compared with the traditional method. © 2023 China Spaceflight Society. All rights reserved.