The Center for Engineering Technologies and Modeling (CITM) "Exponenta" has created an algorithm to distinguish unmanned aerial vehicles from birds on radars. The system operates on the basis of artificial intelligence (AI) and radar signals.
The system analyzes the size of the wings, the body of the bird and their flapping movements. When modeling responses from UAVs, the design features of a specific type of drone are taken into account (number and geometry of the location of the blades, rotation speed, flight path, other parameters). This makes it possible to detect even small movements arising from the rotating blades of the drone and distinguish it from a soaring bird that does not move its wings.
The system is able to recognize even ornithopters with the function of imitating birds. This was achieved due to differences in the effective scattering area (ESA) of the bird's body and the UAV's body, despite their external similarity.
The system takes into account the wave height, salinity, temperature and many other factors. The geometric features of the sea are calculated using a developed algorithm based on the joint use of the GIT model and the Elfouhaily spectrum. At the same time, the technology is capable of modeling not only the sea surface, but also other complex landscapes, such as fields or forests.
Earlier www1.ru reported that in Sevastopol will begin creating software for autonomous drone flights.
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