Title | ||
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An Effective Antenna Pattern Reconstruction Method for Planar Near-Field Measurement System |
Abstract | ||
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This article presents a method of antenna radiation pattern reconstruction for the planar near-field measurement system. The proposed method uses clustering analysis and Voronoi cell classification to realize reasonable regional interpolation according to the data characteristics of a small number of initial samples, leading to an expansion of the amount of effective data in the initial array. Meanwhile, the Gerchberg-Papoulis (GP) algorithm is used to reduce the truncation errors of the interpolated planar near-field data, and consequently improve the overall reconstruction accuracy. The proposed method can effectively reduce the number of initial sampling points and the planar near-field scanning time of the measurement process. Besides, it can be seen from the simulation and measurement results that the planar near-field data processed by the clustering interpolation and GP algorithm can effectively enhance the reconstruction accuracy of the far-field pattern of the antenna under test (AUT). |
Year | DOI | Venue |
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2022 | 10.1109/TIM.2022.3193194 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT |
Keywords | DocType | Volume |
Antenna measurements, Interpolation, Area measurement, Time measurement, Reliability, Sampling methods, Reconstruction algorithms, Clustering interpolation, Gerchberg-Papoulis (GP) algorithm, pattern reconstruction, planar near-field measurement, Voronoi tessellation | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junhao Zheng | 1 | 0 | 0.68 |
Xiaoming Chen | 2 | 301 | 28.67 |
Yi Huang | 3 | 126 | 11.59 |