Projection-based circular constrained state estimation and fusion over long-haul links

Qiang Liu; Nageswara S.V. Rao

doi:10.23919/ICIF.2017.8009836

Projection-based circular constrained state estimation and fusion over long-haul links

Qiang Liu, Nageswara S.V. Rao

Autonomous and Complex Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, we consider a scenario where sensors are deployed over a large geographical area for tracking a target with circular nonlinear constraints on its motion dynamics. The sensor state estimates are sent over long-haul networks to a remote fusion center for fusion. We are interested in different ways to incorporate the constraints into the estimation and fusion process in the presence of communication loss. In particular, we consider closed-form projection-based solutions, including rules for fusing the estimates and for incorporating the constraints, which jointly can guarantee timely fusion often required in realtime systems. We test the performance of these methods in the long-haul tracking environment using a simple example.

Original language	English
Title of host publication	20th International Conference on Information Fusion, Fusion 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9780996452700
DOIs	https://doi.org/10.23919/ICIF.2017.8009836
State	Published - Aug 11 2017
Event	20th International Conference on Information Fusion, Fusion 2017 - Xi'an, China Duration: Jul 10 2017 → Jul 13 2017

Publication series

Name	20th International Conference on Information Fusion, Fusion 2017 - Proceedings

Conference

Conference	20th International Conference on Information Fusion, Fusion 2017
Country/Territory	China
City	Xi'an
Period	07/10/17 → 07/13/17

Funding

ACKNOWLEDGMENT This work is funded by the Mathematics of Complex, Distributed, Interconnected Systems Program, Office of Advanced Computing Research, U.S. Department of Energy, and SensorNet Project of Office of Naval Research, and is performed at Oak Ridge National Laboratory managed by UT-Battelle, LLC for U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

Long-haul sensor networks
circular track constraints
error covariance matrices
nonlinear constraints
projection method
root-mean-square-error (RMSE) performance
state estimate fusion

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10.23919/ICIF.2017.8009836

Cite this

Liu, Q., & Rao, N. S. V. (2017). Projection-based circular constrained state estimation and fusion over long-haul links. In 20th International Conference on Information Fusion, Fusion 2017 - Proceedings Article 8009836 (20th International Conference on Information Fusion, Fusion 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICIF.2017.8009836

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title = "Projection-based circular constrained state estimation and fusion over long-haul links",

abstract = "In this paper, we consider a scenario where sensors are deployed over a large geographical area for tracking a target with circular nonlinear constraints on its motion dynamics. The sensor state estimates are sent over long-haul networks to a remote fusion center for fusion. We are interested in different ways to incorporate the constraints into the estimation and fusion process in the presence of communication loss. In particular, we consider closed-form projection-based solutions, including rules for fusing the estimates and for incorporating the constraints, which jointly can guarantee timely fusion often required in realtime systems. We test the performance of these methods in the long-haul tracking environment using a simple example.",

keywords = "Long-haul sensor networks, circular track constraints, error covariance matrices, nonlinear constraints, projection method, root-mean-square-error (RMSE) performance, state estimate fusion",

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

note = "Publisher Copyright: {\textcopyright} 2017 International Society of Information Fusion (ISIF).; 20th International Conference on Information Fusion, Fusion 2017 ; Conference date: 10-07-2017 Through 13-07-2017",

year = "2017",

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day = "11",

doi = "10.23919/ICIF.2017.8009836",

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Liu, Q & Rao, NSV 2017, Projection-based circular constrained state estimation and fusion over long-haul links. in 20th International Conference on Information Fusion, Fusion 2017 - Proceedings., 8009836, 20th International Conference on Information Fusion, Fusion 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 20th International Conference on Information Fusion, Fusion 2017, Xi'an, China, 07/10/17. https://doi.org/10.23919/ICIF.2017.8009836

Projection-based circular constrained state estimation and fusion over long-haul links. / Liu, Qiang; Rao, Nageswara S.V.
20th International Conference on Information Fusion, Fusion 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8009836 (20th International Conference on Information Fusion, Fusion 2017 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we consider a scenario where sensors are deployed over a large geographical area for tracking a target with circular nonlinear constraints on its motion dynamics. The sensor state estimates are sent over long-haul networks to a remote fusion center for fusion. We are interested in different ways to incorporate the constraints into the estimation and fusion process in the presence of communication loss. In particular, we consider closed-form projection-based solutions, including rules for fusing the estimates and for incorporating the constraints, which jointly can guarantee timely fusion often required in realtime systems. We test the performance of these methods in the long-haul tracking environment using a simple example.

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KW - error covariance matrices

KW - nonlinear constraints

KW - projection method

KW - root-mean-square-error (RMSE) performance

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Liu Q, Rao NSV. Projection-based circular constrained state estimation and fusion over long-haul links. In 20th International Conference on Information Fusion, Fusion 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 8009836. (20th International Conference on Information Fusion, Fusion 2017 - Proceedings). doi: 10.23919/ICIF.2017.8009836

Projection-based circular constrained state estimation and fusion over long-haul links

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