E.V. Kalyabin1

1 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1 post@cnirti.ru

Problem statement. Modern electronic warfare (EW) systems use pre-programmed methods of jamming hostile radar stations (radars), the location and identification of which is carried out by electronic reconnaissance (RER) systems. On the other hand, thanks to the latest technologies, radars are becoming adaptive and intelligent systems that can change the shape of the signal in target detection and tracking modes. However, the continued development of electronic warfare has made it possible to use artificial intelligence technologies to automatically create effective means of countering new and little-studied next-generation radars. The use of cognitive electronic warfare techniques makes it possible to deal most effectively with new, unknown and adaptive or cognitive radars. Simulation modeling of this process shows that the electronic warfare system, for unknown radars, provides accurate determination of their location and quite satisfactorily classifies probing signals of complex shape.

Goal. The purpose of the article is to show how, through the use of cognitive electronic warfare methods using neural network technologies, it is possible to combat the latest radar developments.

Results. Generalized simulation indicators are presented, confirming that there are effective methods for setting up active interference to unknown radars, which can be classified as hostile.

Practical significance. The article uses simulation modeling to substantiate the efficiency of cognitive electronic warfare methods against modern and promising new-generation radars.

Kalyabin E.V. Simulation of cognitive methods new generation radar counteraction. Radiotekhnika. 2025. V. 89. № 5. P. 55−66. DOI: https://doi.org/10.18127/j00338486-202505-06 (In Russian)

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