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arXiv AI By Yongzhi Li, Chongting Shen, Menglin Chen, Xun Jiang, Zhengpeng Wang

AntennaFlow: A Generative Flow Model for Offset Correction in Phaseless Antenna Testing

Read the original on arXiv AI →

AntennaFlow is a three‑stage generative flow model that jointly addresses costly phase acquisition and offset‑mounting violations in near‑field to far‑field antenna testing. It learns an offset‑invariant embedding of amplitude fields, transports offset amplitudes to a center‑aligned field, and applies a simplified extrapolation technique valid only for centered fields. Experiments demonstrate fast, phaseless, offset‑vector‑free NF–FF reconstruction from sparse amplitude‑only measurements, outperforming existing baselines while preserving physical consistency.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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