F-35 Information Fusion

Frey, Thomas L.; Aguilar, J. Chris; Engebretson, Kent R.; Faulk, David K.; Lenning, Layne G.

doi:10.2514/5.9781624105678.0421.0440

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…Статті [7,8] присвячені вирішенню проблеми створення переваги у повітрі, заснованому на отриманні ситуаційної обізнаності (СО) про широкий географічно розподілений район дій з використанням ХТ, що дасть можливість як колективного, так і одноосібного прийняття рішень. Основою для цього є процедури злиття даних [7] та застосувння парадигми "Від даних до рішення", про що наголошено у [8].…”

Section: аналіз останніх досліджень і публікаційunclassified

Use of Cloud Technologies to Solve Issues of Information Integration in Multi-Level Management Systems

Grechaninov¹,

Oksanych²,

Lopushanskyi³

2022

Control syst. comput.

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Introduction. Currently, the paradigm of cloud computing has become widespread in many areas of human life. Particular attention is paid to the use of cloud technologies in emergency response management systems. In Ukraine, such systems are multi-level, mainly with state administration. The use of cloud technologies also opens up new opportunities for the processes of information integration in these systems. Therefore, the problem of building cloud computing models for data integration in multilevel emergency response management systems is quite relevant. Purpose of the article. The purpose of the article is to build a model for integrating data coming to different levels of a 3-level emergency response management model using cloud computing technology. Three main levels of government carried out by public authorities – strategic (state), operational (regional) and tactical (direct executors) are involved in responding to crisis and emergency situations and are the object of research work in terms of data integration using cloud computing. Results. The analysis of a 3-level emergency response management system was carried out for the purpose of transformation, integration and storage in cloud structures of data coming from different sources. A study was made of the process of converting primary data to a state that allows them to be used as input in analytical systems. A hybrid cloud infrastructure for processing and storing data at various levels of management is proposed. It is proposed to use a role-oriented user interface for accessing a catalog of services that are publicly available in a hybrid cloud. The advantages of using cloud technologies in creating a joint information environment and situational awareness for a 3-level emergency response management model are shown. Conclusions. As a result of the research, it can be concluded that the use of cloud technologies in multi-level emergency response management systems can provide an opportunity to solve the problem of processing and storing a large amount of incoming data and provide an advantage in the processes of creating a joint information environment and awareness of the situation. The results of the work can be useful in building a cloud infrastructure for multi-level control systems.

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Section: аналіз останніх досліджень і публікаційunclassified

Use of Cloud Technologies to Solve Issues of Information Integration in Multi-Level Management Systems

Grechaninov¹,

Oksanych²,

Lopushanskyi³

2022

Control syst. comput.

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“…The F-35 fusion engine is the software module at the heart of the integrated mission systems capability on the aircraft. Fusion involves constructing an integrated description and interpretation of the tactical situation surrounding ownship [2]. It draws from onboard, cooperative, and off-board data sources to enhance situational awareness, lethality, and survivability [2].…”

Section: Fusing the Data Into Informationmentioning

confidence: 99%

“…Fusion involves constructing an integrated description and interpretation of the tactical situation surrounding ownship [2]. It draws from onboard, cooperative, and off-board data sources to enhance situational awareness, lethality, and survivability [2]. The fusion functionality is divided into two major sub-functions: air target management (ATM) and surface target management (STM).…”

Section: Fusing the Data Into Informationmentioning

confidence: 99%

F-35 Mission Systems Design, Development, and Verification

Lemons¹,

Carrington²,

Frey³

et al. 2019

The F-35 Lightning II: From Concept to Cockpit

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F-35 mission systems allow pilots to execute traditional advanced tactical missions critical to allied and partner nations. The systems include the most advanced sensor management and data fusion of any current fighter aircraft. These capabilities offer unmatched situational awareness to the pilot and provide decision aids that allow the pilot to make critical timely decisions. The development of these capabilities was accomplished utilizing use cases derived from mission vignettes to perform capability and model-based development. This approach was extended to the test and evaluation phase to develop mission-level scenarios used for validating the models and capabilities.

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“…Filtering the values in order to identify the most plausible one in the present context is thus a major stake in building (iteratively and in real-time) a reliable scene and therefore to increase the robustness of the system. This task is very similar to what happens in avionics where integrating data from different sources is necessary in order to build a view of the environment and create so-called situational awareness [9].…”

Section: Introductionmentioning

confidence: 99%

Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles

Klaudel

Sali

2020

Advances in Intelligent Systems and Computing

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To make their decisions, autonomous vehicles need to build a reliable representation of their environment. In the presence of sensors that are redundant, but not necessarily equivalent, that may get unreliable, unavailable or faulty, or that may get attacked, it is of fundamental importance to assess the plausibility of each information at hand. To this end, we propose a model that combines four criteria (relevance, trust, freshness and consistency) in order to assess the confidence in the value of a feature, and to select the values that are most plausible. We show that it enables to handle various difficult situations (attacks, failures, etc.), by maintaining a coherent scene at any time despite possibly major defects.

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F-35 Information Fusion

Cited by 5 publications

References 17 publications

Use of Cloud Technologies to Solve Issues of Information Integration in Multi-Level Management Systems

Use of Cloud Technologies to Solve Issues of Information Integration in Multi-Level Management Systems

F-35 Mission Systems Design, Development, and Verification

Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles

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