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Chinese AI Radar Promises Near-Perfect Tracking and Could Change Electronic Warfare

Published on 07/09/2025 at 09:54
Radar chinês com IA promete rastreamento quase perfeito e pode mudar a guerra eletrônica
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The Military Technology Race Has Entered a New Chapter With an Unprecedented Test Conducted in China. Researchers Announced Advances in the Use of Artificial Intelligence in Aircraft Radars, Achieving Results That Surprised Even the Most Skeptical Experts.

A recent test in China showcased what may be the world’s first radar system with artificial intelligence on a military aircraft. The equipment demonstrated superior performance in situations that hinder conventional radars.

During the experiments, the enhanced radar maintained nearly perfect tracking of targets, even under advanced interference techniques. These techniques typically confuse or disable sensors, but the new technology showed real-time adaptation.

In scenarios where traditional radars lost contact with the target about 25% of the time, the version with AI raised detection rates to nearly perfection. This suggests a significant advancement in electronic warfare capabilities.

Researchers from Nanjing Claim Historical Milestone

The scientific community in China now claims to have achieved a milestone in radar performance. A peer-reviewed article published in the journal Informatisation Research highlighted the achievement.

The author was Zhang Jie from the 14th Research Institute of China Electronics Technology Group Corporation, located in Nanjing. He reported that the tracking rate increased from the 70-80% range to over 99%.

According to Zhang, there is a paradigm shift in the design of military radars. The institute, known as the cradle of this industry in China, has managed to overcome one of the biggest challenges: maintaining tracking under hostile electronic suppression.

Space and Power Barriers Begin to Be Overcome

Historically, fighter aircraft have faced difficulties integrating AI into radar systems due to space and power limitations. The new demonstration indicates that these obstacles may be being overcome.

The current battlefield is dominated by an “electromagnetic fog,” which includes interference, stealth, and decoys. Therefore, the radar can no longer just detect targets. It needs to provide a broader view of the combat environment, reported the South China Morning Post.

A Different Approach for Unstable Environments

Zhang explained that traditional defense methods against interference rely on fixed assumptions. This leads to failures when conditions change rapidly, causing performance to drop.

The new approach prioritizes real-time adaptation. This strengthens tracking in dynamic scenarios and enhances suppression against electronic attacks.

How the New System Operates

The intelligent radar is not limited to scanning the airspace. It continuously analyzes the electromagnetic spectrum for signs of interference.

When it detects an attempt to jam, it changes the frequency, beam, and waveform within milliseconds. This way, it avoids suppression and ensures mission continuity.

This flexibility offers greater resilience in hostile environments. Unlike research that uses large language models, Chinese engineers opted for traditional machine learning algorithms.

Choice for Reliability in Manned Aircraft

While military drones already use AI based on complex models, manned aircraft received a different strategy. The choice was for interpretable and deterministic systems.

The goal is to prioritize safety and control, reducing risks during combat missions. All tests, including algorithms, simulations, and flight data, underwent rigorous validation before release.

Military and Civilian Impacts

Experts point out that if the radar meets expectations in combat, it could ensure electronic supremacy. Moreover, the impact may extend beyond the military field.

With the advancement of smart city initiatives in China, the electromagnetic spectrum is becoming increasingly congested. This increases the risk of interference from common devices.

In this scenario, real-time adaptation may become essential not only for aircraft but also for civilian systems.

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Fabio Lucas Carvalho

Jornalista especializado em uma ampla variedade de temas, como carros, tecnologia, política, indústria naval, geopolítica, energia renovável e economia. Atuo desde 2015 com publicações de destaque em grandes portais de notícias. Minha formação em Gestão em Tecnologia da Informação pela Faculdade de Petrolina (Facape) agrega uma perspectiva técnica única às minhas análises e reportagens. Com mais de 10 mil artigos publicados em veículos de renome, busco sempre trazer informações detalhadas e percepções relevantes para o leitor.

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