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R&D- Support Actions >Call 2020 >

SIDES- SIGNAL DETECTION SYSTEM

”The software tool 'Signal Detection System' (SiDeS) is to detect, classify and identify the parts of the received radio spectrum in a wide frequency range.”

Electronic support measures (ESM) are on the tactical level military reconnaissance in the electromagnetic spectrum by detecting and evaluating electromagnetic emanations in order to localize their origin, detect and repel immediate threats, protect own troops, and obtain information relevant to the military situation. In addition to electronic countermeasures and protection, ESM are part of the electronic warfare (EW). This is combined with telecommunications and electronic reconnaissance (signals intelligence, SIGINT) to form the generic term Electronic Warfare (EW).

Since the battle of Tannenberg in August 1914 electromagnetic emissions have been detected by means of radio detection receivers, recorded, and typically presented to the EW-officer as a color-coded time-frequency diagram (spectrogram or waterfall diagram). In this way, he can clearly recognize the temporal change in the spectral composition of a signal and, with a great deal of experience, assign it to the appropriate radio standards, because the various multiplex and modulation types can be recognized as characteristic patterns.

Since the number of radio services has grown exponentially since 1914 and most frequency bands are almost constantly occupied, it has become necessary to automate the analysis of radio monitoring. With the help of a database, electromagnetic emissions are classified and, if possible, assigned to a known enemy weapon system (identification).
The published state of the art is that for the generation of the training data for the signal analysis system based on artificial intelligence, the numerically generated radio signals are disturbed only by "simple" noise from the random generator.

The goal of the project is to perform a preliminary study for the implementation of a C4ISR spectrum classification system based on machine learning algorithms. This "Signal Detection System" (SiDeS) will be able to detect, classify, and identify radio signals received at a specific local point on the radio spectrum over a wide range of frequencies to facilitate contextual analysis and decision making by the tactical commander.