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2020 , Vol. 25 >Issue 6: 790 - 794

DOI: https://doi.org/10.1007/s12204-020-2222-z

Reconstruction of Antenna Radiation Pattern Based on Compressed Sensing

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  • (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)

Online published: 2020-11-26

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Abstract

The measurement of the far-field radiation pattern is an important factor in describing the characteristics of the antenna. The measurement process is time consuming and expensive. Therefore, this paper proposes a novel method to reduce the number of samples required for radiation pattern measurement by adopting compressed sensing theory. This method reconstructs the radiation pattern from data measured by a few sensors, and the positions of these sensors are generated via the m-sequence. Simulation results demonstrate that the proposed algorithm can effectively reconstruct the complete radiation pattern by using the 50% samples.

Key words： far-field; radiation pattern; compressed sensing; m-sequence

Cite this article

ZHANG Haoping, JIANG Yilin, LI Xiaoyu . Reconstruction of Antenna Radiation Pattern Based on Compressed Sensing[J]. Journal of Shanghai Jiaotong University(Science), 2020 , 25(6) : 790 -794 . DOI: 10.1007/s12204-020-2222-z

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