NinjaSalmon/DeformRF

Tasks

• feature-extraction

Citation text from the card

@inproceedings{chen2026deformrf,
  author = {Chen, Xingda and Rastikerdar, Mohammad and Aditya, Ankur and Ganesan, Deepak},
  title = {DeformRF: Data-driven Beamforming and Direction Finding with Deformable Antenna Arrays},
  booktitle = {Proceedings of the 24th International Conference on Mobile Systems, Applications, and Services},
  series = {MobiSys '26},
  year = {2026},
  publisher = {ACM},
  address = {Cambridge, UK},
  doi = {}
}


# DeformRF Antenna EM Dataset

This artifact contains the comprehensive synthetic electromagnetic (EM) dataset used to train the **DeformRF** physics-inspired ML models. It provides a large-scale mapping of antenna geometries to their EM characteristics, specifically focusing on flexible substrates deformed via Bezier curves.

## Dataset Overview
The **DeformRF-Yagi** dataset provides a mapping of 6-element Yagi antenna geometries, deformed via Bezier curves, to their electromagnetic characteristics across multiple frequency bands.

* **Antenna Type:** 6-Element Yagi Antenna
* **Frequency Coverage:** 150 MHz – 850 MHz (100 MHz intervals)
* **Frequencies:** 150, 250, 350, 450, 550, 650, 750, 850 MHz

## Technical Details
* **Configuration:** 6-element Yagi using Bezier curves; 2.004mm dipole width (18 gauge copper); element spacing of 0.15 $\lambda$.
* **Data per Entry:** 3D radiation patterns (realized gain), S-parameters (200 frequency points), E-field components (vertical/horizontal polarization), H-field data, and polarization data.
* **

All datasets marked Permissive or share-alike | JSON