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Track reconstruction and data fusion

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Mathematics in Industrial Problems

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 57))

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Abstract

A ship at sea finds its way using a combination of its own instruments and a collection of external navigation systems. If all the navigation data over the course of a voyage are recorded, how well can one reconstruct the track of the ship? On March 26, 1993 William J. Satzer from 3M described an approach to track reconstruction by way of optimal smoothing theory. The goal is (i) to provide an accurate and reliable “truth track” to serve as a basis for analysis of long range ocean sensors, and (ii) to develop means for using disparate data sources to form a coherent picture of an environment.

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References

  1. C.A. Wolfe and W.J. Satzer, Smoothed track reconstruction of ocean going vessels, IEEE Proceedings of Position Location and Navigation Symposium, December 1982.

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  2. A. Gelb, et al., Applied Optimal Estimation, M.I.T. Press, Cambridge, Mass., 1989.

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  3. B.D.O. Anderson and J.B. Moore, Optimal Filtering, Prentice Hall, Englewood Cliffs, New Jersey, 1979.

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© 1994 Springer-Verlag New York, Inc.

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Friedman, A. (1994). Track reconstruction and data fusion. In: Mathematics in Industrial Problems. The IMA Volumes in Mathematics and its Applications, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8383-3_14

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  • DOI: https://doi.org/10.1007/978-1-4613-8383-3_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8385-7

  • Online ISBN: 978-1-4613-8383-3

  • eBook Packages: Springer Book Archive

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