China says new AI missile system can track US F-35s with 90% accuracy

Date:
Mon, 17 Aug 2026 23:25:00 +0000

Description:
Chinese researchers report lightweight AI can recognize simulated F-22 and F-35 infrared signatures, though combat performance remains unverified.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Chinese researchers built an AI targeting infrared traces from F-22 and F-35 engines Flare decoys reportedly fail to fool this heat-based recognition model Lab tests show recognition accuracy above 90 percent for simulated targets Chinese researchers have claimed a lightweight AI system can identify heat signatures resembling those of F-22 and F-35 stealth fighters.

The F-22 and F-35 are designed to make enemy detection and tracking more difficult, particularly by reducing their visibility to radar and other sensors. That makes any technology capable of recognizing their remaining infrared signatures potentially important for detecting aircraft built around stealth. Latest Videos From TechRadar Watch full video here: AI recognition focuses on aircraft heat Unlike radar-based detection, infrared systems look for heat produced by an aircraft's engines, exhaust, and heated surfaces during flight.

The researchers claim that AI can analyze those patterns and distinguish simulated F-22 and F-35 signatures from other airborne objects. You may like US Marine Corps gets six 'blind' F-35B stealth fighters loaded with lead ballast instead of advanced radars USAF's Autonomous AI fighter drone just fired a 'real' AMRAAM air-to-air missile in a world first Chinese firm
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Pilots often use flares to confuse conventional heat-seeking sensors during
an engagement.

However, the researchers say that aircraft-generated heat differs from flare emissions, giving an AI system another basis for separating an aircraft from decoys. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.

The researchers tested their recognition model using simulated targets representing the thermal characteristics associated with F-22 and F-35 aircraft.

According to the study's lead author, the approach is intended to combine rapid processing with sufficient recognition capability for missile applications.

Lightweight recognition models could become widely used in future air-to-air missiles because they can provide high-speed recognition while maintaining strong identification capabilities, said An Jiangshan, first author of the study. What to read next Chinese military reportedly uses American AI models to train its defense systems Inside the revolutionary Czech AI acoustic
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Laboratory testing reportedly produced recognition accuracy exceeding 90%, although operational performance against real aircraft remains unverified.

That distinction matters because real aircraft generate changing thermal patterns under different speeds, altitudes, maneuvering conditions, and environmental circumstances.

The researchers also describe the system as lightweight, suggesting that its computing requirements could be suitable for missile-mounted hardware with limited space and processing capacity. Limits remain around real-world performance Stealth aircraft are designed primarily to reduce radar visibility, but infrared emissions remain an important consideration for infrared-guided weapons.

Heat-seeking missiles already use infrared sensors, while machine-learning systems could potentially assist those sensors with identifying complex thermal patterns.

However, the reported research does not establish that the system can
reliably track operational F-22 or F-35 aircraft under combat conditions.

Actual engagements would introduce atmospheric conditions, changing viewing angles, aircraft maneuvers, background temperatures, and electronic countermeasures that laboratory testing may not fully reproduce.

Even without proving the system can defeat operational aircraft, the research points toward a growing challenge for American stealth platforms.

The United States cannot assume that reducing radar visibility will remain sufficient as AI systems become better at recognizing infrared patterns.

Future F-22 and F-35 upgrades could therefore require greater attention to heat management, exhaust signatures and other infrared characteristics.

The same concern applies to future stealth bombers, which could face increasingly capable AI-assisted infrared sensors.

Stealth designs may need to consider how machine-learning systems interpret heat patterns rather than simply minimizing the strength of those emissions.

That could become increasingly important as lightweight AI processors become easier to integrate into missiles and other airborne weapons.

American defence planners have little reason to wait until such systems demonstrate their capabilities during actual combat.

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Link to news story: https://www.techradar.com/pro/china-says-new-ai-missile-system-can-track-u-s-f -35s-with-90-accuracy


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