Abstract
Traditional filter method usually cause greater error or even filtering divergence if it’s model mismatch when the target is in the station of maneuvering. A fused algorithm based on the interaction multiple model (IMM) and the improved tracking-differentiator (ITD) is proposed. The approach combines the advantages of IMM and ITD with a simple form. Numerical simulation shows that the tracking performance of the proposed algorithm. It is more reliability than the traditional single model method because it is not completely base on the hypothesis that there is some model of the target state.
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References
Mazor, E., Aveebuch, A., Bar-Shalom, Y.: Interacting multiple model methods in target tracking: a survey. IEEE Transactions on Aerospace and Electronic Systems 34(1), 103–122 (1998)
Johnston, L.A., Krishnamurthy, V.: An improvement to the interacting multiple model (IMM) algorithm. IEEE Transactions on Signal Processing 49(12), 2903–2909 (2001)
Hyun Sik, K., In-Ho, K.: Design of adaptive fuzzy IMM algorithm for tracking the maneuvering target with time-varying measurement noise. International Journal of Control, Automation and Systems 5, 307–316 (2007)
Chze Eng, S., Inseok, H.: State estimation for stochastic linear hybrid systems with continuous-state-dependent transitions: An IMM approach. IEEE Transactions on Aerospace and Electronic Systems 45, 376–392 (2009)
Hyun Sik, K., Joon Goo, P., Dongik, L.: Adaptive fuzzy IMM algorithm for uncertain target tracking. International Journal of Control, Automation and Systems 7, 1001–1008 (2009)
Li, X.R., Bar-Shalom, Y.: Multiple-model estimation with variable structure. IEEE Transactions on Automatic Control 41, 478–493 (1996)
Ma, Z., Wu, G., Chen, M.: Tracking target state with TD. Acta Mathematicae Applicatae Sinica 301, 1–9 (2007) (in Chinese)
Jingqing, H.: Active disturbance rejiction control technique–the techqique for estimating and compensating the uncertainties, Beijing (2008)
Yong, L.: A Complementary form of Discrete Tracking-Differentiator. In: IEEE 2010 International conference on Measuring Technology and Mechatronics Automation, Changsha, China, vol. 1, pp. 46–49 (March 2010)
Chongzhao, H., Hongyan, Z.: Multi-source Information Fusion, Beijing, pp. 240–241 (2006)
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Li, Y. (2012). A Fused Algorithm for Maneuvering Target Tracking. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27314-8_41
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DOI: https://doi.org/10.1007/978-3-642-27314-8_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27313-1
Online ISBN: 978-3-642-27314-8
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