Chinese UCAV/CCA/Loyal Wingman (sensor, A2A and A2G) thread

Deino

Lieutenant General
Staff member
Super Moderator
Registered Member
So it's nonsense? ... I saw it yesterday late on X posted by one I usually rate credible but wasn't sure and this morning I wasn't able to find it again, maybe since it is wrong.
 

Nevermore

New Member
Registered Member
Does anyone know more about this?

via @沉默的山羊

View attachment 147381
The blogger's words are: I just saw it on Rednote, can I successfully report it?
The text below the picture tells the story of GJ11 crossing the open sea from the East China Sea and flying once again into Japanese airspace. It took the Japanese Self Defense Forces one minute to recognize it, and then GJ11 activated anti electromagnetic interference, causing the Japanese radar to smoke. The following sentence is that the author believes that the defeated country does not have any so-called airspace, so why protest.
the above
——
I don't know if there is a definite event, it could also be a fabricated story
Additionally, the writing style and content are somewhat nationalistic
 

ougoah

Brigadier
Registered Member
The GJ-11, like most stealth UAVs, is also one of the most difficult aircraft in existence to observer via radar given its smaller size and simpler geometry than existing stealth aircraft around the world. Chinese or American radars would have some trouble detecting these stealth UAVs. So unless the GJ-11 was using a LL to enhance signature during peacetime or it was in full stealth configuration but detected literally only 10s of km away from the radar site (it is claimed this occurred within Japanese airspace note not ADIZ after all so this is well within 10s of kms).

Whats more likely is this poster made all that up. Such an incident would risk unnecessary tension during a time China is letting Trump do his thing.
 

by78

General
An academic paper on aerial combat algorithms used by combat drones. Unpredictable and sudden movements of enemy fighters present a challenge to existing algorithms in predicting their trajectories. The proposed solution calls for using image recognition to track movements of control surfaces of enemy fighters to better predict their trajectories.

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