Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces
Alexander Paulus, Josef Knapp, Jonas Kornprobst, Thomas F. Eibert

TL;DR
This paper introduces a linear phase retrieval method for near-field antenna measurements that overcomes sampling, computational, and reliability issues of existing nonlinear approaches, especially for open measurement surfaces.
Contribution
A novel partially coherent multi-probe measurement technique with a linear reconstruction method that improves reliability and accuracy in near-field far-field transformations.
Findings
Effective phase retrieval with open measurement surfaces
Enhanced reconstruction accuracy using multi-probe arrangements
Mitigation of sampling and computational challenges
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…
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Taxonomy
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