Method for determining a cause of disturbance in a communication between at least one satellite and at least one terminal, computer program product and associated electronic determination device

FR3144473B1Active Publication Date: 2025-08-29THALES SA
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Patent Information

Application Number
FR2022014529
Authority / Receiving Office
FR · FR
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-12-27
Publication Date
2025-08-29
Estimated Expiration
2042-12-27

AI Technical Summary

Technical Problem

Existing communication systems between satellites and terminals struggle with determining the cause of disturbances in signal quality, leading to temporary disruptions that can result in information loss, especially due to environmental factors and intentional jamming, and current methods fail to effectively manage these disturbances in real-time.

Method used

An electronic determination device employing an AI-driven method using a neural network and decision tree to analyze signal parameters, identifying causes of disturbances such as accidental or intentional parasitic signals, and implementing corrective actions to mitigate these issues.

Benefits of technology

The method quickly and accurately determines the cause of disturbances, enabling immediate corrective actions to restore nominal communication functionality, reducing downtime and improving communication reliability.

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Abstract

Method for determining a cause of disturbance on a communication between at least one satellite and at least one terminal, computer program product and associated electronic determination device The present invention relates to a method for determining a cause of disturbance on a communication between a satellite 20 and a terminal 25. The method comprises a learning phase comprising the reception of a training data set, and the training of a machine learning module from the received set. Each training data item comprises a group of parameters representative of a quality of signals exchanged between the satellite(s) and the terminal(s), and a cause of disturbance associated with the group of parameters.The method further comprises an operating phase comprising the acquisition of a group of parameters to be tested representative of the quality of the communication to be tested, and the determination of the cause of disturbance by applying the trained model to the group of acquired parameters. Figure for abstract: Figure 1.
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