Neural Radiated-Noise Fields for Unmanned Underwater Vehicle Noise Spectrum Prediction in Three-Dimensional Scenes
arXiv:2606.04008v1 Announce Type: cross Abstract: Radiated noise in unmanned underwater vehicles (UUVs) is an important indicator for characterizing acoustic signatures and evaluating platform performance. To address the strong dependence of traditional physics-based modeling and numerical simulation methods on target structural information and environmental boundary conditions, and their inability to achieve continuous spatial spectrum-response modeling in three-dimensional scenes, this paper proposes a neural radiated-noise field (NRNF). An NRNF represents the UUV radiated-noise spectrum as
The increasing sophistication of AI models and the critical need for advanced sensing and stealth capabilities in military applications are converging to enable new approaches in underwater acoustic modeling.
This development allows for improved prediction and counter-detection of unmanned underwater vehicles, enhancing situational awareness and potentially shifting tactical advantages in naval warfare and intelligence gathering.
Traditional physics-based modeling, which relies heavily on detailed structural information, can now be augmented or replaced by AI-driven approaches that offer continuous spatial spectrum-response modeling without such constraints.
- · Naval forces
- · Defense contractors
- · Autonomous underwater vehicle developers
- · AI/ML researchers in acoustics
- · Traditional sonar system manufacturers
- · Forces reliant on acoustic stealth for surprise
- · Intelligence agencies without advanced AI acoustic analysis
Unmanned underwater vehicles become more detectable, impacting their operational doctrines and requiring new counter-detection strategies.
The ability to accurately model and predict radiated noise fields could lead to the development of quieter UUVs through optimized design, or more effective acoustic countermeasures.
This technology might contribute to a new arms race in underwater acoustics, forcing nations to invest heavily in both noise reduction and advanced detection capabilities, potentially impacting maritime security dynamics.
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Read at arXiv cs.AI