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Information fusion supporting team situation awareness for future fighting aircraft
Örebro University, School of Science and Technology.
2010 (English)In: Proceedings of the 13th Conference on Information Fusion (FUSION), 2010, New York: IEEE conference proceedings, 2010, p. 1-8Conference paper, Published paper (Other academic)
Abstract [en]

In the military aviation domain, the decision maker, i.e. the pilot, often has to process huge amounts of information in order to make correct decisions. This is further aggravated by factors such as time-pressure, high workload and the presence of uncertain information. A support system that aids the pilot to achieve his/her goals has long been considered vital for performance progress in military aviation. Research programs within the domain have studied such support systems, though focus has not been on team collaboration. Based on identified challenges of assessing team situation awareness we suggest an approach to future military aviation support systems based on information fusion. In contrast to most previous work in this area, focus is on supporting team situation awareness, including team threat evaluation. To deal with these challenges, we propose the development of a situational adapting system, which presents information and recommendations based on the current situation.

Place, publisher, year, edition, pages
New York: IEEE conference proceedings, 2010. p. 1-8
Keywords [en]
Situation awareness, adaptive aiding, decision support, fighter aircraft, information fusion, situational picture, team cooperation, threat evaluation
National Category
Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-20542ISBN: 978-0-9824438-1-1 (print)OAI: oai:DiVA.org:oru-20542DiVA, id: diva2:463898
Conference
13th Conference on Information Fusion (FUSION), Edinburgh, 26-29 July 2010
Available from: 2011-12-12 Created: 2011-12-12 Last updated: 2018-01-12Bibliographically approved
In thesis
1. Situation analysis for fighter aircraft combat survivability
Open this publication in new window or tab >>Situation analysis for fighter aircraft combat survivability
2011 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Fighter pilots operate in environments where an erroneous decision may have fatal consequences. A tactical decision support system (TDSS) could aid the pilots to analyze the situation and make correct decisions. The TDSS can, for instance, highlight important information and suggest suitable actions. The aim of this thesis is to provide a situation analysis model of combat survival that can be utilized in a TDSS.

The first part of this thesis describes an analysis of what the model needs to describe and how it can be used. It is concluded that the model should evaluate the outcome of different actions with respect to combat survival. This evaluation can guide the pilot’s decision making, so that actions leading to dangerous situations are avoided. The analysis also highlights the need of handling uncertainties, both measurement precision uncertainty regarding the locations and capabilities of the threats (enemies) and inference uncertainties regarding the prediction of how the threats will act.

Finally, arguments for focusing the rest of the work on a single fighter aircraft and threats located on the ground are presented. The second part of the thesis suggests a model, which describes the survivability, i.e., the probability that the aircraft can fly a route without being hit by fire from ground-based threats. Thus, the model represents the inference uncertainty, since it describes the probability of survival. The model’s characteristics are discussed, e.g., that the model is implementable and can be adapted to describe different kinds of ground-based threats. Uncertainty in terms of measurement precision influences the estimate of the survivability. Two different ways of representing this is discussed: calculating the worst case scenario or describing the input as random variables and the resulting survivability as a random variable with a probability distribution. Monte Carlo simulations are used for estimating the distribution for survivability in a few illustrative scenarios, where the input is represented as random variables. The simulations show that when the uncertainty in input is large, the survivability distribution may be both multimodal and mixed. Two uncertainty measures are investigated that condense the information in the distributions into a single value: standard deviation and entropy. The simulations show that both of these measures reflect the uncertainty. Furthermore, the simulations indicate that the uncertainty measures can be used for sensor management, since they point out which information that is the most valuable to gather in order to decrease the uncertainty in the survivability.

Finally, directions for future work are suggested. A number of TDSS functions that can be developed based on the model are discussed e.g., warnings, countermeasure management, route-planning and sensor management. The design of these functions could require extending the threat model to incorporate airborne threats and the effects of countermeasures. Further investigations regarding the uncertainty in the model are also suggested.

Place, publisher, year, edition, pages
Örebro: Örebro universitet, 2011. p. 144
Series
Studies from the School of Science and Technology at Örebro University ; 23
Keywords
fighter aircraft, situation analysis, combat survival, decision support, uncertainty
National Category
Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-20544 (URN)
Supervisors
Available from: 2011-12-12 Created: 2011-12-12 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
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Output format
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  • text
  • asciidoc
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