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CapabilityD4likely · moderate confidenceRU · adversary

Russian 'Ghost' counter-drone system showcased

Bottom line

A Russian 'Ghost' project counter-drone system was showcased on a mobile chassis, featuring detection, tracking, and interception capabilities while moving, indicating a focus on mobile active counter-UAS.

Why it matters

Mobile counter-UAS systems like 'Ghost' could challenge NATO mechanized units by providing real-time, on-the-move protection against drone swarms, requiring enhanced EW and kinetic countermeasures.

Russian sources reported a showcase of the ‘Ghost’ project counter-drone system mounted on a mobile chassis. The system features detection and tracking of multiple targets, along with interception capabilities while in motion. This development indicates a Russian focus on mobile, active electronic warfare and kinetic counter-UAS systems to protect moving formations from drone threats.

Evidence — 1 independent origin

  • Сводки ополчения Новороссии Z.O.V.source Dorigin t.me
    Original text (excerpt)

    А это уже дальнейшее развитие противодронового комплекса от проекта «Призрак» на базе мобильного шасси. Детекция, ведение сразу нескольких целей и перехваты в движении. "Осведомитель"

NamedGhostTopicselectronic warfaredrones

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian 'Ghost' counter-drone system showcased. Hetzner OSINT, 15 October 2026. https://robotwar.io/osint-hetzner/2026-10-15--russian-ghost-counter-drone-system-showcased/

@misc{robotwar-2026-10-15--russian-ghost-counter-drone-system-showcased,
  title = {Russian 'Ghost' counter-drone system showcased},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-15--russian-ghost-counter-drone-system-showcased/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

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