This support package provides pre-trained machine learning models for rapid antenna analysis of electromagnetic properties such as resonant frequency, directivity, and bandwidth. Use these models for reconstructing the far-field radiation pattern from sparse data, design space exploration, and optimization of antenna geometry and dielectric substrate.
Reconstruct the far-field radiation pattern from limited data sheets or measurements.
3D Pattern Reconstruction
Use AI to reconstruct the far-field radiation pattern of antennas based on sparse data, such as horizontal and vertical cuts coming from data sheets or measurements.
- Using AI for Antenna Design, Analysis, and Optimization
- Accelerating Antenna Pattern Analysis and Simulation with MATLAB
- P. J. DiMeo, S. Sivaramakrishnan and V. Iyer, "AI-Based 3D Antenna Pattern Reconstruction," 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 2024, pp. 1-2,
Download Support Package
Required products:
- Antenna Toolbox
- Deep Learning Toolbox
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