Multi-Setup Correction of Antenna Radiation Patterns Obtained From Phaseless Non-Anechoic Measurements

• Published in: IEEE antennas and wireless propagation letters pp. 1 - 5
• Main Authors: Waladi, Vorya, Piekarz, Ilona, Sorocki, Jakub, Bekasiewicz, Adrian
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: antenna far-field responses; Antenna measurements; Antenna radiation patterns; Bandwidth; Data mining; Frequency measurement; Gears; local regression; Noise; non-anechoic measurements; Phase measurement; phaseless data; post-processing; Smoothing methods; Vectors
• ISSN: 1536-1225; 1548-5757
• DOI: 10.1109/LAWP.2025.3596814

Evaluation of antenna radiation patterns is normally performed at professional facilities where strict control over propagation conditions is maintained. Alternatively, experiments can be realized in uncontrolled environments and then corrected to diminish the effects of noise and interference patterns on far-field responses. Existing post-processing methods normally require complex (i.e., magnitude and phase) transmission characteristics that might not be available when low-cost measurement gear is used. In this work, a framework for multi-setup correction of far-field radiation patterns based on phaseless data acquired in a non-anechoic conditions is presented. The method involves acquisition of frequency responses over a selected bandwidth for a set of spatially separated test setups. The obtained multi-setup data are subject to robust smoothing and appropriate convex combination to retain the refined characteristics. The approach has been demonstrated using a Vivaldi antenna measured for two test configurations and a few frequencies. For the considered experiments, the improvement of radiation patterns fidelity due to post-processing is up to 9 dB w.r.t. uncorrected data. The framework has also been benchmarked against the state-of-the-art algorithms in terms of performance.