AAFIYA: Antenna Analysis in Frequency-domain for Impedance and Yield Assessment

TL;DR

The paper introduces AAFIYA, a Python toolkit for automated antenna characterization using measurement and simulation data, enabling accurate impedance, gain, and polarization analysis across frequencies.

Contribution

It presents a modular, unified workflow for antenna analysis that supports standard data formats and validation against measurements and simulations, enhancing reproducibility and extensibility.

Findings

Good agreement between measurements and simulations across frequency and angle.

AFIYA provides accurate and reproducible antenna metrics.

The toolkit supports automated analysis and future extensions.

Abstract

This paper presents AAFIYA (Antenna Analysis in Frequency-domain for Impedance and Yield Assessment), a modular Python toolkit for automated characterization of radio-frequency antennas using measurement and simulation data. The toolkit provides a unified workflow for processing S-parameters, impedance, realized gain, beam patterns, polarization metrics, and calibration-based yield estimation, with support for standard Touchstone files and beam pattern data. AAFIYA is validated using measurements from an electromagnetic anechoic chamber involving Log Periodic Dipole Array (LPDA) reference antennas and Askaryan Radio Array (ARA) Bottom Vertically Polarized antennas over 100-850 MHz. Extracted metrics, including impedance matching, realized gain patterns, vector effective lengths, and cross-polarization ratio, are compared against full-wave simulations from HFSS and WIPL-D, showing good agreement across frequency and angle. The results demonstrate that AAFIYA enables accurate, reproducible, and publication-ready antenna analysis, and provides a flexible foundation for future extensions, including automated optimization and data-driven antenna design.