English

Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces

Signal Processing 2022-02-01 v2 Numerical Analysis Numerical Analysis Optimization and Control

Abstract

Most methods tackling the phase retrieval problem of magnitude-only antenna measurements suffer from unrealistic sampling requirements, from unfeasible computational complexities, and, most severely, from the lacking reliability of nonlinear and nonconvex formulations. As an alternative, we propose a partially coherent (PC) multi-probe measurement technique and an associated linear reconstruction method which mitigate all these issues. Hence, reliable and accurate phase retrieval can be achieved in near-field far-field transformations (NFFFTs). In particular, we resolve the issues related to open measurement surfaces (as they may emerge in drone-based measurement setups) and we highlight the importance of considering the measurement setup and the phaseless NFFFT simultaneously. Specifically, the influence of special multi-probe arrangements on the reconstruction quality of PC solvers is shown.

Keywords

Cite

@article{arxiv.2109.10864,
  title  = {Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces},
  author = {Alexander Paulus and Josef Knapp and Jonas Kornprobst and Thomas F. Eibert},
  journal= {arXiv preprint arXiv:2109.10864},
  year   = {2022}
}

Comments

6 pages, 5 figures, accepted by IEEE Transaction and Antennas and Propagation