Compressive Sensing Approach for Fast Antenna Far Field Characterization

Compressive Sensing Approach for Fast Antenna Far Field Characterization
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用于快速天线远场表征的压缩传感方法

DOI:
10.1049/cp.2018.0637
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发表时间:
2018
期刊:
arXiv: Data Analysis, Statistics and Probability
影响因子:
--
通讯作者:
M. Migliore
M. Migliore
中科院分区:
--
文献类型:
--
作者:
B. Fuchs;L. Coq;S. Rondineau;M. Migliore

文献摘要

被引文献

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为了提高天线远场方向图的测量速度,提出了一种压缩传感方法。天线方向图被扩展为球谐函数,从而提供了场的稀疏表示。然后,与传统方法相比,可以使用现成的算法来从减少的样本数量重建场。如各种实验示例所示,该策略可显著节省测量点的数量。
A compressive sensing approach is proposed to speed up the measurement of antenna far field patterns. The antenna pattern is expanded into spherical harmonics providing a sparse representation of the field. Readily available algorithms can then be used to reconstruct the field from a reduced number of samples compared to conventional approaches. This strategy leads to important savings in the number of measurement points as shown in various experimental examples.