China's New AI Torpedo Can Outsmart Decoys to Destroy Real Threats
20250605
Svetalana Ekimenko
Today's underwater battlespace is crowded with threats like decoys, jammers, countermeasures, and weapons. In these high-pressure environments, systems must quickly identify real targets from fakes to avoid wasted shots and mission failure.
China is developing an AI-powered ultra-fast torpedo designed to dominate underwater warfare.
Researchers from the PLA Navy and China State Shipbuilding Corporation combined physics with machine learning to teach a torpedo to think before striking.
First, the team simulated decoy profiles using bubble-collapse and turbulence models.
They subsequently trained AI with generative adversarial networks (GANs) to refine and detect acoustic fakes.
The researchers then used deep-learning sonar analysis, converting signals into "spectral thumbnails" via a mathematical tool known as Fourier transforms, which breaks down a complex signal into its basic building blocks.
The result:
- Boosted detection rates against advanced decoys from 61.3% to over 80%
- The new system achieved a 92.2% success rate in identifying real submarines vs. decoys, a Command Control & Simulation report shows
© Sputnik
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