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CapabilityD4likely · moderate confidenceRU · adversary

US Apaches destroy MQM-170 drones using German Sentinel radar data

Bottom line

US AH-64 Apaches destroyed MQM-170 Outlaw drones using targeting data from German AN/MPQ-64 Sentinel ground radar, solving detection limitations.

Why it matters

The successful integration of German Sentinel radar data with US Apaches enhances NATO interoperability and provides a viable solution for detecting and engaging small, low-flying drones, a critical capability for air defense.

At Grafenwöhr, US AH-64 Apaches successfully destroyed MQM-170 Outlaw drones using targeting data provided by the German AN/MPQ-64 Sentinel ground radar. This integration addressed the helicopter’s limited long-range small-target detection capabilities, demonstrating effective interoperability between US rotary-wing assets and German ground-based radar systems.

Evidence — 1 independent origin

  • Telegram channel, Russian side:Сводки ополчения Новороссии Z.O.V.source Dorigin t.me
    Original text (excerpt)

    🇺🇸 Модернизация GMLRS - боеприпас получил перенацеливание. Lockheed Martin сообщила, что они смогли поразить движущуюся цель снарядом GMLRS, перенаправив его в полете. Для этого использовался канал передачи данных Strigo, и система "дистанционного наведения перехватчика" (RIG-360

NamedGMLRSStrigoRIG-360M142PrSMTopicsdroneselectronic warfare

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). US Apaches destroy MQM-170 drones using German Sentinel radar data. Hetzner OSINT, 1 November 2026. https://robotwar.io/osint-hetzner/2026-11-01--us-apaches-destroy-mqm-170-drones-using-german-sentinel-radar-data/

@misc{robotwar-2026-11-01--us-apaches-destroy-mqm-170-drones-using-german-sentinel-radar-data,
  title = {US Apaches destroy MQM-170 drones using German Sentinel radar data},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-11-01--us-apaches-destroy-mqm-170-drones-using-german-sentinel-radar-data/}},
  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 2026-10-18.v7 · Corrections · JSON · RSS · API performance