STO-Activities: (no title)
Activity title:
Electronic Support (ES) Techniques Enabling Cognitive Electronic Warfare (EW)
Activity Reference:
SCI-362
Panel:
SCI
Security Classification:
NATO UNCLASSIFIED
Status:
Planning
Activity type:
RTG
Start date:
2024-09-11T00:00:00Z
Actual End date:
2027-09-11T00:00:00Z
Keywords:
Cognitive EW, Cognitive RF, Electronic Support, Electronic Warfare, Machine Learning, Spectrum Operations
Background:
Emerging radars and radios are capable of changing their transmitted waveforms by modifying their modulation, bandwidth, center frequency, medium access protocols and timing. The ability of radars and radios to change their waveforms and medium access protocols challenges traditional signal detection and identification techniques. These traditional techniques compare detected signal characteristics with known signal parameters in a pre-defined database. Further complicating the picture is the possibility that distributed threats may cooperate with one another for improved situational awareness.
To maintain the capabilities of signal interception and interpretation, new identification and classification methods are needed. Traditionally these methods are closely related to the signal data bases owned by the NATO nations, within which data exchange formats are defined at the NATO level. New identification and classification methods will result in additional features and parameters extracted from the signals which will not be covered by the current data formats. Additionally, future classification and identification techniques will require the ability this expanded signal parameter set facilitates to identify detected signal ‘intent’ in the absence of a priori awareness of the signal, as well as which threat systems are cooperating with one another.
In RTG SCI-326, datasets have been made available to develop, train and assess algorithms for several of the above-mentioned goals, and several architectures to do this have been discussed.
Objectives:
This effort will assess combined communication and radar signal detection, classification and network topology identification using machine intelligence (MI) approaches in NATO relevant scenarios. In support of this assessment, this NATO activity will identify the challenges of applying intelligent agents to tactical NATO electronic support (ES) operations, explore options for accessing, generating, recording, and/or sharing relevant data for training intelligent agents, analyze the utility of various machine intelligent approaches in NATO ES, identify requirements and limitations of hardware and NATO platforms to support machine intelligence and identify the requirements for data and models to support training of intelligent agents.
Topics:
• Applicability of intelligent agents to NATO-relevant scenarios for robust detection, classification and network topology identification
• Reliable threat determination from spectrum observations
• Current and future limitations of intelligent agents for Electronic Support
• NATO relevant training data required to support robust MI operation
Contact:
Open2Partners:
Title:
Created at 07/02/2024 11:00 by System Account
Last modified at 16/05/2024 17:00 by System Account
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