On state estimation and fusion with elliptical constraints

Rao, Nageswara S.; Liu, Qiang

Title: On state estimation and fusion with elliptical constraints

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Abstract

We consider tracking of a target with elliptical nonlinear constraints on its motion dynamics. The state estimates are generated by sensors and sent over long-haul links to a remote fusion center for fusion. We show that the constraints can be projected onto the known ellipse and hence incorporated into the estimation and fusion process. In particular, two methods based on (i) direct connection to the center, and (ii) shortest distance to the ellipse are discussed. A tracking example is used to illustrate the tracking performance using projection-based methods with various fusers in the lossy long-haul tracking environment.

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ORNL

Publication Date:: Wed Nov 01 00:00:00 EDT 2017

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

OSTI Identifier:: 1399417

DOE Contract Number:: AC05-00OR22725

Resource Type:: Conference

Resource Relation:: Conference: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - Daegu, , South Korea - 11/27/2017 5:00:00 AM-11/29/2017 5:00:00 AM

Country of Publication:: United States

Language:: English

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                    Rao, Nageswara S., and Liu, Qiang. On state estimation and fusion with elliptical constraints.  United States: N. p., 2017. 
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                    Rao, Nageswara S., & Liu, Qiang. On state estimation and fusion with elliptical constraints.  United States.

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                    Rao, Nageswara S., and Liu, Qiang. 2017.  
        "On state estimation and fusion with elliptical constraints".  United States.  https://www.osti.gov/servlets/purl/1399417.

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@article{osti_1399417,

  title        = {On state estimation and fusion with elliptical constraints},

  author       = {Rao, Nageswara S. and Liu, Qiang},

  abstractNote = {We consider tracking of a target with elliptical nonlinear constraints on its motion dynamics. The state estimates are generated by sensors and sent over long-haul links to a remote fusion center for fusion. We show that the constraints can be projected onto the known ellipse and hence incorporated into the estimation and fusion process. In particular, two methods based on (i) direct connection to the center, and (ii) shortest distance to the ellipse are discussed. A tracking example is used to illustrate the tracking performance using projection-based methods with various fusers in the lossy long-haul tracking environment.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1399417},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Nov 01 00:00:00 EDT 2017},

  month        = {Wed Nov 01 00:00:00 EDT 2017}

}

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