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Title: Performance of State Estimation and Fusion with Elliptical Motion Constraints

Abstract

We consider tracking of a target with known 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 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 a 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
OSTI Identifier:
1468100
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Journal Volume: 501; Conference: Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) - Daegu, , South Korea - 11/16/2017 5:00:00 AM-11/18/2017 5:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Liu, Qiang, and Rao, Nageswara S. Performance of State Estimation and Fusion with Elliptical Motion Constraints. United States: N. p., 2018. Web. doi:10.1007/978-3-319-90509-9_3.
Liu, Qiang, & Rao, Nageswara S. Performance of State Estimation and Fusion with Elliptical Motion Constraints. United States. doi:10.1007/978-3-319-90509-9_3.
Liu, Qiang, and Rao, Nageswara S. Sun . "Performance of State Estimation and Fusion with Elliptical Motion Constraints". United States. doi:10.1007/978-3-319-90509-9_3. https://www.osti.gov/servlets/purl/1468100.
@article{osti_1468100,
title = {Performance of State Estimation and Fusion with Elliptical Motion Constraints},
author = {Liu, Qiang and Rao, Nageswara S.},
abstractNote = {We consider tracking of a target with known 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 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 a lossy long-haul tracking environment.},
doi = {10.1007/978-3-319-90509-9_3},
journal = {},
issn = {1876--1100},
number = ,
volume = 501,
place = {United States},
year = {2018},
month = {7}
}

Conference:
Other availability
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