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Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm

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Multisensor Fusion

Part of the book series: NATO Science Series ((NAII,volume 70))

Abstract

The Interacting Multiple Model state estimators (IMM), [1-5], provides a better tracking accuracy for maneuvering targets than that obtained from other single-scan positional estimators such as the Kalman filter — even with a recursion on the process noise to make it more capable of following a maneuver — or more sophisticated estimators making use of rule-based maneuver detectors [6].

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References

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Jouan, A., Jarry, B., Michalska, H. (2002). Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm. In: Hyder, A.K., Shahbazian, E., Waltz, E. (eds) Multisensor Fusion. NATO Science Series, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0556-2_27

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  • DOI: https://doi.org/10.1007/978-94-010-0556-2_27

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0723-1

  • Online ISBN: 978-94-010-0556-2

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