Radar System RF Source Identification via Integrated AI

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Solution Overview

Problem

Existing electronic warfare systems lack robustness in identifying radiofrequency sources, leading to potential failures that hinder source identification when the system fails.

Innovation Solution

A radar system integrated with electronic warfare functionality, utilizing an identification algorithm and an electronic warfare reference library, combined with an artificial intelligence algorithm to associate radar observation spectra with RF source types, enabling automatic identification and overcoming system failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a GE system is used to identify RF sources, then source identification capability is provided, but system robustness deteriorates when the GE system fails

Engineering Contradiction:

Improvesystem robustnessVSAvoidsystem architecture

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges the RF source identification functionality directly into the radar system by integrating an identification algorithm that processes radar spectra. This combination eliminates the dependency on a separate GE system, ensuring that source identification capability remains available even when a dedicated GE system fails, thereby improving system robustness while maintaining architectural simplicity.

Inventive Principle:

Principle #5Merging (Combining)

2Loss of information

If a separate radar system is combined with GE system, then additional source information is obtained, but system robustness deteriorates

Engineering Contradiction:

Improvesource information completenessVSAvoidsystem robustness

Core Design Contradiction:

Loss of informationVSReliability

Solution Approach 1:

The radar system is designed to perform multiple functions: it simultaneously provides radar observation capabilities and RF source identification functionality through its integrated identification algorithm. This multi-functionality allows the single radar system to replace the need for separate GE and radar systems, ensuring complete source information is obtained while maintaining high system robustness.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Quantity of substance

If manual labeling of radar spectra is performed, then training data is obtained, but time consumption increases

Engineering Contradiction:

Improvetraining data availabilityVSAvoidtraining data preparation time

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The system uses its own radar spectra and identification results to automatically generate labeled training data. The identification algorithm processes radar spectra and generates labels that are directly usable for training, eliminating the need for manual expert labeling. This self-service approach provides sufficient training data while dramatically reducing the time required for data preparation.

Inventive Principle:

Principle #25Self-service

Data Source

PatentEP4556939A1Improved radar system; method of configuring and computer program products thereof

Publication Date: 2025.05.21 THALES SA

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AI summary

The present invention relates to a radar system (10) comprising a radar (12) and a computer (14), characterized in that the radar system (10) is provided with an electronic warfare functionality making it possible to associate with a radar spectrum (S) for observation of a target object, an identifier (Id) of the type of radiofrequency source - RF corresponding to said target object, the computer executing an identification algorithm so as to provide the radar system with the electronic warfare functionality, an identifier of the type of RF source deriving from an electronic warfare reference library.