TacticC3likely · moderate confidenceRU · adversary

Russian drone operators strike Ukrainian ground control antennas

Bottom line

Russian 64th Motor Rifle Brigade destroyed Ukrainian ground control station antennas on the Zaporizhzhia front, disrupting drone operations.

Why it matters

Striking ground control antennas is a direct counter-drone tactic that can significantly disrupt Ukrainian drone operations, requiring NATO allies to consider hardening or dispersing C2 nodes.

The 64th Motor Rifle Brigade of the Russian Army destroyed enemy ground control station antennas on the Zaporizhzhia front. This tactic targets the command and control infrastructure of Ukrainian drone units, aiming to degrade their ability to operate UAVs effectively in the region.

Evidence — 1 independent origin

Воин DVsource Corigin7 Sep 2026 t.me archive
Original text (excerpt)
📡 Гвардейцы 64 отдельной мотострелковой бригады 35 армии группировки войск «Восток» уничтожили антенны наземных станций управления противника на Запорожском направлении. @voin_dv | @voin_dv в MAX

Named64th Motor Rifle BrigadeZaporizhzhiaTopicsdrones electronic warfare

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← Latest findings · All findings from September 2026

History · version 1 · first published 7 Sep 2026 · last substantive update 8 Sep 2026

Cite this finding

Robot War (2026). Russian drone operators strike Ukrainian ground control antennas. Hetzner OSINT, 7 September 2026. https://robotwar.io/osint-hetzner/2026-09-07--russian-drone-operators-strike-ukrainian-ground-control-antennas/

@misc{robotwar-2026-09-07--russian-drone-operators-strike-ukrainian-ground-control-antennas,
  title = {Russian drone operators strike Ukrainian ground control antennas},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-07--russian-drone-operators-strike-ukrainian-ground-control-antennas/}},
  year = {2026},
  note = {Hetzner OSINT finding C3}
}

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 2026-10-15.v6 · Corrections · JSON · RSS · API performance