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Chinese PLA promotes 3kW laser anti-drone systems

Bottom line

Chinese PLA promotes 3kW laser anti-drone systems, but critique notes insufficient power for reliable FPV kill due to exposure time.

Why it matters

NATO and allied forces must monitor the development of directed energy counter-drone systems in China, as these systems may be used to counter allied unmanned systems.

Chinese PLA promotes 3kW laser anti-drone systems, but a critique notes that 3kW is insufficient for reliable FPV kill due to exposure time, as FPVs can drop from stand-off range to hit the laser platform. The critique also notes that Chinese lack of combat experience leads to flawed doctrine on military revolution. This finding highlights the ongoing development of directed energy counter-drone systems in China.

Pictures from the cited posts

Evidence — 1 independent origin

  • Русский инженер (Russian Engineer)source Borigin t.me
    Original text (excerpt)

    Про антидронную борьбу, роль и место лазерных систем. В недавнем посте описывал состояние этой темы у противника , и имеет смысл посмотреть, что там происходит с другой стороны Евразии. Китайские боевые лазеры, сейчас активно популяризируют в рекламных роликах НОАК (как раз кадр

NamedPLATopicselectronic warfarechina

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Chinese PLA promotes 3kW laser anti-drone systems. Hetzner OSINT, 17 October 2026. https://robotwar.io/osint-hetzner/2026-10-17--chinese-pla-promotes-3kw-laser-anti-drone-systems/

@misc{robotwar-2026-10-17--chinese-pla-promotes-3kw-laser-anti-drone-systems,
  title = {Chinese PLA promotes 3kW laser anti-drone systems},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-17--chinese-pla-promotes-3kw-laser-anti-drone-systems/}},
  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 2026-10-15.v6 · Corrections · JSON · RSS · API performance

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