Russia has developed a new anti-drone system called “Multik“, designed to protect helicopters and ground forces from attacks by first-person view (FPV) drones.
According to information from Defence Blog, this initiative was organized by Russia’s VNII “Gradient” in response to the growing losses caused by low-cost Ukrainian FPV drone attacks.
The new system was detailed in promotional materials released by KRET, a division of Russia’s defense electronics sector.
The system is described as a compact and mobile jamming platform designed to combat small UAVs in forward operating areas or in permanent troop deployment sites.
According to the documentation, the Multik is capable of detecting and jamming the video transmission channels used by FPV drones, using directional jamming to disable the drone’s control and navigation.
According to VNII “Gradient”, the system consists of a receiver-transmitter block, control unit, cable sets, and documentation, all of which are sent in a designated container. It is designed for use mounted on vehicles or airborne platforms, allowing it to operate in motion.
Technical specifications list a detection and jamming frequency range from 700 MHz to 6000 MHz, with a minimum radiated power of 25 watts. The jamming range for FPV drones is 500 meters, based on a 2-watt onboard transmitter.
Meanwhile, the detection range is up to 1000 meters, depending on the intensity of the drone’s signal. The system supports three simultaneous jamming channels and provides 360-degree coverage, offering complete protection.
Designed for quick deployment, the Multik aims to protect small military facilities, special purpose vehicles, personnel, and vulnerable infrastructure elements linked to federal authorities, according to the manufacturer.
The compact design, mobility, and ability to operate in motion are described as the system’s strengths, making it suitable for mounting on vehicles or aircraft, including helicopters used in frontline support missions.
Photo: Telegram. This content was created with the help of AI and reviewed by the editorial team.
