A Compact Super Resolution Phase Retrieval Method for Fourier Measurement

Li, Xiaodong; Fu, Ning; Zheng, Pinjun; Qiao, Liyan

doi:10.1109/tim.2022.3186088

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Cited by 5 publications

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References 42 publications

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“…Such inverse estimation based on the phaseless observations is also known as the phase retrieval problem[39]-[41].…”

mentioning

confidence: 99%

Localization Coverage Analysis of THz Communication Systems with a 3D Array

Zheng

Ballal

Chen

et al. 2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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This paper considers the problem of estimating the position and orientation of a user equipped with a threedimensional (3D) array receiving downlink far-field THz signals from multiple base stations with known positions and orientations. We derive the Cramér-Rao Bound for the localization problem and define the coverage of the considered system. We compare the error lower bound distributions of the conventional planar array and the 3D array configurations at different user equipment (UE) positions and orientations. Our numerical results obtained for array configurations with an equal number of elements show very limited coverage of the planar-array configuration, especially across the UE orientation range. Conversely, a 3D array configuration offers an overall higher coverage with minor performance loss in certain UE positions and orientations.

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“…Such inverse estimation based on the phaseless observations is also known as the phase retrieval problem[39]-[41].…”

mentioning

confidence: 99%