3-D Pattern Reconstruction
3-D pattern reconstruction from 2-D slices of an antenna or array involves generation of a complete three-dimensional radiation pattern based on measured or simulated data from two-dimensional planes. Antenna Toolbox™ provides deep learning based function to reconstruct 3-D radiation pattern from two orthogonal (azimuth and elevation) slices. This feature enables you to characterize and analyze 3-D antenna radiation pattern much faster at a fraction of the computational and measurement costs.
Functions
patternFromAI | Reconstruct 3-D radiation pattern of antenna or array from two orthogonal pattern slices using AI (Since R2024a) |
Featured Examples
Reconstruct 3-D Antenna Pattern from 2-D Slices Using Deep Learning
Use deep learning to reconstruct a 3-D antenna radiation pattern from two orthogonal 2-D slices.
