Open AccessSynthesis of sparse planar arrays in the whole field by compressed sensing
Author(s) -
Zhao Dongdong,
Chen Peng,
Hu Yingtian,
Liang Ronghua,
Wang Haixia,
Guo Xinxin
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2019.2589
Subject(s) - planar , compressed sensing , planar array , sparse array , field (mathematics) , computer science , algorithm , materials science , optics , mathematics , physics , telecommunications , computer graphics (images) , pure mathematics
A method for designing sparse large planar arrays in whole field with a minimum number of elements is proposed in this Letter. The method is developed by compressed sensing algorithms and a new composite beam pattern covering both far‐ and near‐field information. The experimental results demonstrate that the sparse planar array achieves a 95.3% element thinning compared to the fully sampled planar array and the side lobe peaks in near‐field conditions are at least 3.4 dB lower than those in previous studies.