RF Signal Identification via Database Model Matching
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Solution Overview
Problem
Existing methods for identifying radioelectric emissions require detailed analysis and are limited in recognizing a wide range of waveforms, especially complex ones, and require expertise in signal processing and radiocommunication techniques.
Innovation Solution
A method that uses a database of known signal models to compare the characteristics of received radioelectric signals, applying signal processing algorithms to determine the likelihood of matching models, allowing direct identification of communication types and standards without blind parameter estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If blind modulation recognition techniques are used to identify radioelectric emissions, then identification can be performed without prior knowledge of the signal, but the method is limited to a restricted range of waveforms and requires detailed analysis of the intercepted signal
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing reference waveforms and their characteristic parameters in a database before actual signal identification. During operation, the system retrieves and compares these pre-prepared references with intercepted signals, avoiding the need for complex real-time blind analysis and enabling recognition of a broader range of waveforms including complex modulated signals.
2Measurement precision
If detailed analysis of the intercepted signal is performed to characterize and identify the emission, then technical parameters such as modulation type and frequency can be estimated, but the process is time-consuming and requires expertise in signal processing
Solution Approach 1:
The patent uses copying by creating and storing reference copies of known waveforms and their characteristic parameters in a database. Instead of performing detailed analysis on each intercepted signal, the system compares the signal against these pre-stored references, rapidly identifying matching waveforms and their parameters without requiring complex real-time analysis or expert intervention.
3Ease of operation
If blind modulation recognition is used without a database of reference waveforms, then the system can operate independently, but it cannot associate results with known transmission systems and requires good knowledge of signal processing techniques
Solution Approach 1:
The patent introduces an intermediary database that stores reference waveforms and their associated transmission system information. This database acts as a mediator between the intercepted signal and the identification result, automatically associating recognized waveforms with their corresponding transmission systems without requiring user expertise. The system simply queries the database with extracted features and retrieves pre-stored information about the identified system.
Data Source
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AI summary
The method involves executing an identification loop by providing a model, and by applying a signal processing algorithm associated to the model on digitized data to obtain a plausibility note (V) between digitized radioelectric signal and the model. The signal corresponds to the model if the note is higher than a minimum value. A new model is selected, and an algorithm associated to the new model on the digitized data is executed, if the note is lower than or equal to the minimum value. An identification loop of the new model is executed, and the former model is compared with the new model. An independent claim is also included for an automatic identification system comprising a processor, and a data base.