Russian counter-drone gear showcases multi-band EW and jammers
Bottom line
NPP Dronevich showcased a suite of counter-drone systems including the 'Yastreb 1.0' (100-6000MHz EW), 'Perekhvat 2.0' (SDR monitoring), and 'Utyug' (handheld FPV jammer for 2.4/5.8GHz).
Why it matters
Demonstrates Russian industry's focus on multi-band electronic suppression and mobile security solutions, potentially improving their ability to counter diverse UAV threats in tactical environments.
Evidence — 1 independent origin
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Original text (excerpt)
Участник «Дронницы 2026» АО «НПП» «Производим: оборудование комплексных решений для противодействия БПА, системы радиотехнической разведки, радиоэлектронной борьбы, спецвооружение (патроны), системы связи и контроля территории. На Дроннице представим «Ястреб 1.0» – многофункциона
Related findings
- Ukraine showcases ground, naval, and interceptor drones in parade · 25 Aug · B1
- Ukrainian FPV drone strikes on Russian logistics hubs confirmed · 24 Aug · C3
- Chinese micro-drone prototypes demonstrated by PLA university · 24 Aug · C2
- Russian Mi-8 helicopters air-launch F7 LITAVR interceptor drones · 24 Aug · B3
- AI agents control drones and tanks in InsideAI experiment · 24 Aug · C3
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). Russian counter-drone gear showcases multi-band EW and jammers. Hetzner OSINT, 11 August 2026. https://robotwar.io/osint-hetzner/2026-08-11--russian-counter-drone-gear-showcases-multi-band-ew-and-jammers/
@misc{robotwar-2026-08-11--russian-counter-drone-gear-showcases-multi-band-ew-and-jammers,
title = {Russian counter-drone gear showcases multi-band EW and jammers},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-11--russian-counter-drone-gear-showcases-multi-band-ew-and-jammers/}},
year = {2026},
note = {Hetzner OSINT finding B3}
}Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-08-18.v4 · Corrections · JSON · RSS · API performance