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Interactive Multi-model Target Maneuver Tracking Method Based on the Adaptive Probability Correction

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Advances in Swarm Intelligence (ICSI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10942))

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Abstract

Non-cooperative target tracking is a key technology for complex space missions such as on-orbit service. To improve the tracking performance during the unknown maneuvering phase of the target, two methods including the IMM (interactive multi-model) algorithm based on extended CW equation and the variable IMM algorithm based on CW and extended CW equation are presented. The analysis and simulation results show that the higher the maneuvering index of the target is, the more obvious the advantages of the classical augmented IMM method are. However, the variable dimension IMM method has consistent performance for all the maneuver index interval of the target, and it is relatively suitable for engineering applications due to the lower complexity of algorithm.

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Correspondence to Xiaotong Zhang .

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Ren, J., Zhang, X., Sun, J., Zeng, Q. (2018). Interactive Multi-model Target Maneuver Tracking Method Based on the Adaptive Probability Correction. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10942. Springer, Cham. https://doi.org/10.1007/978-3-319-93818-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-93818-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93817-2

  • Online ISBN: 978-3-319-93818-9

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