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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, T., Xie, Y.: A relative navigation algorithm for a chaser tracking a non-cooperative maneuvering target in space, 31(5), 1338–1344 (2010) (In Chinese). https://doi.org/10.3873/j.issn.1000-1328.2010.05.014
Qian, G.H., Li, Y., Luo, R.J.: One maneuvering frequency and the variance adaptive filtering algorithm for maneuvering target tracking. J. Radars 2(6), 258–264 (2013). (In Chinese)
Jiyuan, L., Jun, Z., Yingying, L.: Applying auto-adaptation filter to tracking of maneuvering target in special relative navigation. J. Northwest. Polytech. Univ. 4, 013 (2011). (In Chinese)
Kim, H.S., Park, J.G., Lee, D.: Adaptive fuzzy IMM algorithm for uncertain target tracking. Int. J. Control Autom. Syst. 7(6), 1001–1008 (2009)
Liu, W., Li, Y., Wang, M.: An adaptive UPF algorithm for tracking maneuvering target in compound K noise environment. Acta Electronica Sinica 40(6), 1240–1245 (2012). https://doi.org/10.3969/j.issn.0372-2112.2012.06.029. (in Chinese)
Naidu, V., Gopalaratnam, G., Shanthakumar, N.: Three Model IMM-EKF for Tracking Targets Executing Evasive Maneuvers. In: AIAA Aerospace Sciences Meeting & Exhibit (2007)
Yang, C., Blasch, E.: Characteristic errors of the IMM algorithm under three maneuver models for an accelerating target. In: International Conference on Information Fusion. IEEE, 2008
Jiangw, L.V.Z.J., Lan, Y.: IMM-CKF algorithm based on variable dimension interaction. Comput. Appl. Softw. 30(5), 4–6 (2013)
Sun, Q., Kong, X., Lu, C., Deng, J.: Two new IMM algorithms for nonlinear maneuvering target tracking. Electron. Opt. Control 08, 14–19+31 (2008). (in Chinese)
Xiong, K., Wei, C.: Spacecraft relative navigation based on multiple model adaptive estimator. J. Syst. Sci. Math. Sci. 34(07), 828–837 (2014). (in Chinese)
Shaofeng, M., Xinxi, F., Yulei, L., Zhang, W., Xiaomei, Z.: A variable dimension adaptive IMM tracking algorithm. Electron. Opt. Control 22(02), 36–40+45 (2015). (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93818-9_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93817-2
Online ISBN: 978-3-319-93818-9
eBook Packages: Computer ScienceComputer Science (R0)