CapabilityC3likely · moderate confidenceUA · friendly

Russian 'Kometa' EW modules use Intel Altera FPGAs

Bottom line

GUR MO details Russian 'Kometa' EW-resistant nav modules using CRPA antennas and Intel Altera Cyclone FPGAs, listing 37 foreign components.

Why it matters

Provides specific intelligence on the supply chain for Russian EW-resistant navigation systems, identifying Intel Altera FPGAs as a critical component that could be targeted by export controls or sanctions.

Ukrainian GUR MO details the components of the Russian ‘Kometa’ EW-resistant navigation modules, identifying the use of CRPA antennas and Intel Altera Cyclone FPGAs. The report lists 37 foreign components from 28 manufacturers and 13 tech units for production, highlighting the reliance on Western electronics for Russian EW resilience.

Pictures from the cited posts

Evidence — 1 independent origin

  • Telegram channel:ГУР МО Україниsource Corigin t.me
    Original text (excerpt)

    ❗️ War&Sanctions: ГУР розкриває деталі про виробництво навігаційних систем для російських ракет та БпЛА ГУР МО України в розділі “Компоненти у зброї” порталу War&Sanctions публікує перелік із 37 електронних компонентів іноземного виробництва, які використовуються у виробництві за

NamedKometaIntelAltera CycloneTopicscomponentselectronic warfaremanufacturingrussia

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian 'Kometa' EW modules use Intel Altera FPGAs. Hetzner OSINT, 19 October 2026. https://robotwar.io/osint-hetzner/2026-10-19--russian-kometa-ew-modules-use-intel-altera-fpgas/

@misc{robotwar-2026-10-19--russian-kometa-ew-modules-use-intel-altera-fpgas,
  title = {Russian 'Kometa' EW modules use Intel Altera FPGAs},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-19--russian-kometa-ew-modules-use-intel-altera-fpgas/}},
  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 2026-10-18.v7 · Corrections · JSON · RSS · API performance

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