Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. / Ebinger, Peter; Kuijper, Arjan; Wolthusen, Stephen D.

Proc. 2012 Military Communications and Information Systems Conference. Piscataway, NJ, USA : IEEE Computer Society Press, 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Forthcoming

Standard

Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. / Ebinger, Peter; Kuijper, Arjan; Wolthusen, Stephen D.

Proc. 2012 Military Communications and Information Systems Conference. Piscataway, NJ, USA : IEEE Computer Society Press, 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Ebinger, P, Kuijper, A & Wolthusen, SD 2010, Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. in Proc. 2012 Military Communications and Information Systems Conference. IEEE Computer Society Press, Piscataway, NJ, USA.

APA

Ebinger, P., Kuijper, A., & Wolthusen, S. D. (Accepted/In press). Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. In Proc. 2012 Military Communications and Information Systems Conference Piscataway, NJ, USA: IEEE Computer Society Press.

Vancouver

Ebinger P, Kuijper A, Wolthusen SD. Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. In Proc. 2012 Military Communications and Information Systems Conference. Piscataway, NJ, USA: IEEE Computer Society Press. 2010

Author

Ebinger, Peter ; Kuijper, Arjan ; Wolthusen, Stephen D. / Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources. Proc. 2012 Military Communications and Information Systems Conference. Piscataway, NJ, USA : IEEE Computer Society Press, 2010.

BibTeX

@inproceedings{58003c4e7745482f9121dbca1f19932f,
title = "Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources",
abstract = "The networking capabilities of tactical mobile adhocnetworks (MANETs) provide the basis to enhance robustnessand accuracy of Blue Force Tracking (BFT) where existing BFTmechanisms are unavailable, unreliable, or simply not sufficientlyaccurate (owing to factors such as update frequencies and theneed for back-link availability). BFT is an essential element to anytactical environment given its ability to contribute to situationalawareness at all levels.Tactical environments are characterized by spectrum contention,jamming and other factors limiting the ability of na¨ıveapproaches, e. g. in urban environments and broken terrain.Unlike previous work this paper aims to provide MANET-basedBFT without the requirement of line-of-sight (LOS) links or backendinfrastructure which is robust against temporal disruption ofnetwork connectivity. These results are achieved by distributedlyfusing sensor data and additional information sources across thetactical MANET using techniques also employed in robotics andobject tracking.Our contribution is the provision of enhanced BFT mechanismsexploiting networking capabilities of tactical MANETsand data fusion mechanisms based on Sequential Monte Carlomethods, specifically particle filters, incorporating additionalinformation such as mission information (e. g. mobility models)and topographic data. We demonstrate that the use of thesetechniques enhances both accuracy and robustness as comparedto standard BFT by using a simulation environment with variousmobility and radio propagation characteristics.",
author = "Peter Ebinger and Arjan Kuijper and Wolthusen, {Stephen D.}",
note = "To appear (Oct. 2012)",
year = "2010",
month = "10",
language = "English",
booktitle = "Proc. 2012 Military Communications and Information Systems Conference",
publisher = "IEEE Computer Society Press",

}

RIS

TY - GEN

T1 - Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources

AU - Ebinger, Peter

AU - Kuijper, Arjan

AU - Wolthusen, Stephen D.

N1 - To appear (Oct. 2012)

PY - 2010/10

Y1 - 2010/10

N2 - The networking capabilities of tactical mobile adhocnetworks (MANETs) provide the basis to enhance robustnessand accuracy of Blue Force Tracking (BFT) where existing BFTmechanisms are unavailable, unreliable, or simply not sufficientlyaccurate (owing to factors such as update frequencies and theneed for back-link availability). BFT is an essential element to anytactical environment given its ability to contribute to situationalawareness at all levels.Tactical environments are characterized by spectrum contention,jamming and other factors limiting the ability of na¨ıveapproaches, e. g. in urban environments and broken terrain.Unlike previous work this paper aims to provide MANET-basedBFT without the requirement of line-of-sight (LOS) links or backendinfrastructure which is robust against temporal disruption ofnetwork connectivity. These results are achieved by distributedlyfusing sensor data and additional information sources across thetactical MANET using techniques also employed in robotics andobject tracking.Our contribution is the provision of enhanced BFT mechanismsexploiting networking capabilities of tactical MANETsand data fusion mechanisms based on Sequential Monte Carlomethods, specifically particle filters, incorporating additionalinformation such as mission information (e. g. mobility models)and topographic data. We demonstrate that the use of thesetechniques enhances both accuracy and robustness as comparedto standard BFT by using a simulation environment with variousmobility and radio propagation characteristics.

AB - The networking capabilities of tactical mobile adhocnetworks (MANETs) provide the basis to enhance robustnessand accuracy of Blue Force Tracking (BFT) where existing BFTmechanisms are unavailable, unreliable, or simply not sufficientlyaccurate (owing to factors such as update frequencies and theneed for back-link availability). BFT is an essential element to anytactical environment given its ability to contribute to situationalawareness at all levels.Tactical environments are characterized by spectrum contention,jamming and other factors limiting the ability of na¨ıveapproaches, e. g. in urban environments and broken terrain.Unlike previous work this paper aims to provide MANET-basedBFT without the requirement of line-of-sight (LOS) links or backendinfrastructure which is robust against temporal disruption ofnetwork connectivity. These results are achieved by distributedlyfusing sensor data and additional information sources across thetactical MANET using techniques also employed in robotics andobject tracking.Our contribution is the provision of enhanced BFT mechanismsexploiting networking capabilities of tactical MANETsand data fusion mechanisms based on Sequential Monte Carlomethods, specifically particle filters, incorporating additionalinformation such as mission information (e. g. mobility models)and topographic data. We demonstrate that the use of thesetechniques enhances both accuracy and robustness as comparedto standard BFT by using a simulation environment with variousmobility and radio propagation characteristics.

M3 - Conference contribution

BT - Proc. 2012 Military Communications and Information Systems Conference

PB - IEEE Computer Society Press

CY - Piscataway, NJ, USA

ER -