Nvidia patents neural tools to simulate how radio waves bounce in 3D spaces
Nvidia describes a method that combines neural networks with ray tracing to model how radio signals travel through a 3D environment. The system uses a neural component to estimate how surfaces scatter radio waves, then adjusts these estimates through mathematical optimization to match real-world signal data.
In the filing’s own words
Apparatuses, systems, and techniques relate to neural components for differentiable ray tracing of radio propagation. Differentiable ray tracing may be used to refine the scene geometry of the physical environment, to learn or optimize the scene properties of objects in the scene, to learn or optimize the scene properties of antennas, and to learn or optimize antenna patterns, array geometries, and orientations and positions of transmitters and receivers. Once scene properties have been learned or optimized, the differentiable ray tracer may further be used to simulate the performance of different configurations of the transmitters, receivers, and scene geometry. In an embodiment, one or more of the scene geometry, scene properties, and antenna characteristics are computed by a differentiable parametric function, such as a neural network, etc. and parameters of the differentiable parametric function are learned using the differentiable ray tracing.
What exactly they claim (claim 1)
1. A computer-implemented method, comprising: computing, by a differentiable ray tracer, simulated radio characteristics for a three-dimensional (3D) scene based on configured parameters and at least one trainable parameter corresponding to a scene property, wherein for each ray intersection point in the 3D scene, a neural component estimates the at least one trainable parameter; and updating weights applied by the neural component to estimate the at least one trainable parameter using gradient-based optimization to minimize a loss function of the simulated radio characteristics and reference radio characteristics, wherein the at least one trainable parameter comprises a scattering pattern that is modeled as a linear combination of components on a hemisphere.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- Neural components for differentiable ray tracing of radio propagation
- Patent number
- US12731324B2
- Application number
- 18653088
- Filed
- May 2, 2024
- Granted
- Sep 8, 2026
- Inventors
- 7
- Claims
- 22
Classified under
G06T 15/06 Physics & computingG06T 17/05 Physics & computingH04W 16/18 Electricity & electronicsG06T 2207/20081 Physics & computingG06T 2207/20084 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.