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Title: On state estimation and fusion with elliptical constraints

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.

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
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

Citation Formats

Rao, Nageswara S., and Liu, Qiang. On state estimation and fusion with elliptical constraints. United States: N. p., 2017. Web.
Rao, Nageswara S., & Liu, Qiang. On state estimation and fusion with elliptical constraints. United States.
Rao, Nageswara S., and Liu, Qiang. Wed . "On state estimation and fusion with elliptical constraints". United States. https://www.osti.gov/servlets/purl/1399417.
@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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

Conference:
Other availability
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