2019
DOI: 10.1109/lawp.2019.2938732
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An Adaptive Data Acquisition and Clustering Technique to Enhance the Speed of Spherical Near-Field Antenna Measurements

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Cited by 22 publications
(7 citation statements)
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“…Popular techniques include space mapping [33] as well as various response correction schemes (manifold mapping [34], adaptive response scaling [35], shape-preserving response prediction [36]). For certain purposes, especially global optimization, machine learning techniques are often employed [37], [38], typically in connection with surrogate modeling methods [39] and adaptive sampling [40]. Local surrogates are becoming indispensable for uncertainty quantification, either to replace EM analysis when performing Monte Carlo analysis [41] or to directly yield the statistical moments of the system outputs (e.g., polynomial chaos expansion [42]).…”
Section: And Implementation Of Variousmentioning
confidence: 99%
“…Popular techniques include space mapping [33] as well as various response correction schemes (manifold mapping [34], adaptive response scaling [35], shape-preserving response prediction [36]). For certain purposes, especially global optimization, machine learning techniques are often employed [37], [38], typically in connection with surrogate modeling methods [39] and adaptive sampling [40]. Local surrogates are becoming indispensable for uncertainty quantification, either to replace EM analysis when performing Monte Carlo analysis [41] or to directly yield the statistical moments of the system outputs (e.g., polynomial chaos expansion [42]).…”
Section: And Implementation Of Variousmentioning
confidence: 99%
“…This conventional approach relies on the mechanical rasterscan of a sampling probe to capture the AUT radiated fields, which can be time-consuming [8]. To address this challenge, several methods such as reduced sampling [9], [10], adaptive sampling [11], [12], clustering analysis [13], [14], [15], and machine learning [16] are proposed to balance the efficiency and accuracy of the NF measurement. However, these methods are still confined to probe-based raster-scanning approaches.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, measurement accuracy and efficiency become conflicting issues. Various efficient electromagnetic sampling algorithms, such as sparse sampling [11]- [14], compressed sensing [15]- [18], and adaptive sampling [19], nonredundant sampling [20], [21], have been proposed to improve the efficiency of probe scanning method by reducing the number of sampling points. Fixed probes arrays [22]- [25] also have been introduced to improve the efficiency, but the resolution is limited by the size of the fixed probe.…”
Section: Introductionmentioning
confidence: 99%