SOURCE-LINKED INTELLIGENCE
AntennaFlow: A Generative Flow Model for Offset Correction in Phaseless Antenna Testing
Near-field to far-field transformation is central to large-aperture antenna testing, yet two coupled challenges remain: costly phase acquisition at millimeter-wave bands and violations of the centering assumption under offset mounting. Existing methods address these issues separately, requiring either dense full-field data or offset vectors. We tackle both jointly by exploiting a key observation: amplitude fields under different offsets are coordinate-transformed views of the same near field. The challenge is to recover the center-aligned field from offset amplitudes without a phase or offset
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T10:28:20.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.