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

Ebinger, Peter and Kuijper, Arjan and Wolthusen, Stephen (2012):
Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources.
IEEE Computer Society, Los Alamitos, Calif., In: 2012 Military Communications and Information Systems Conference (MCC), [Conference or Workshop Item]

Abstract

The networking capabilities of tactical mobile ad-hoc networks (MANETs) provide the basis to enhance robustness and accuracy of Blue Force Tracking (BFT) where existing BFT mechanisms are unavailable, unreliable, or simply not sufficiently accurate (owing to factors such as update frequencies and the need for back-link availability). BFT is an essential element to any tactical environment given its ability to contribute to situational awareness at all levels. Tactical environments are characterized by spectrum contention, jamming and other factors limiting the ability of naive approaches, e. g. in urban environments and broken terrain. Unlike previous work this paper aims to provide MANET-based BFT without the requirement of line-of-sight (LOS) links or backend infrastructure which is robust against temporal disruption of network connectivity. These results are achieved by distributedly fusing sensor data and additional information sources across the tactical MANET using techniques also employed in robotics and object tracking. Our contribution is the provision of enhanced BFT mechanisms exploiting networking capabilities of tactical MANETs and data fusion mechanisms based on Sequential Monte Carlo methods, specifically particle filters, incorporating additional information such as mission information (e. g. mobility models) and topographic data. We demonstrate that the use of these techniques enhances both accuracy and robustness as compared to standard BFT by using a simulation environment with various mobility and radio propagation characteristics.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Ebinger, Peter and Kuijper, Arjan and Wolthusen, Stephen
Title: Enhanced Location Tracking for Tactical MANETs based on Particle Filters and Additional Information Sources
Language: English
Abstract:

The networking capabilities of tactical mobile ad-hoc networks (MANETs) provide the basis to enhance robustness and accuracy of Blue Force Tracking (BFT) where existing BFT mechanisms are unavailable, unreliable, or simply not sufficiently accurate (owing to factors such as update frequencies and the need for back-link availability). BFT is an essential element to any tactical environment given its ability to contribute to situational awareness at all levels. Tactical environments are characterized by spectrum contention, jamming and other factors limiting the ability of naive approaches, e. g. in urban environments and broken terrain. Unlike previous work this paper aims to provide MANET-based BFT without the requirement of line-of-sight (LOS) links or backend infrastructure which is robust against temporal disruption of network connectivity. These results are achieved by distributedly fusing sensor data and additional information sources across the tactical MANET using techniques also employed in robotics and object tracking. Our contribution is the provision of enhanced BFT mechanisms exploiting networking capabilities of tactical MANETs and data fusion mechanisms based on Sequential Monte Carlo methods, specifically particle filters, incorporating additional information such as mission information (e. g. mobility models) and topographic data. We demonstrate that the use of these techniques enhances both accuracy and robustness as compared to standard BFT by using a simulation environment with various mobility and radio propagation characteristics.

Publisher: IEEE Computer Society, Los Alamitos, Calif.
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Semantics in the modeling process, Mobile ad-hoc networks (MANETs), Object localisation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: 2012 Military Communications and Information Systems Conference (MCC)
Date Deposited: 12 Nov 2018 11:16
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