Synthesis of sparse planar arrays in the whole field by compressed sensing | Zendy

Zhao Dongdong | Zendy; Chen Peng | Zendy; Hu Yingtian | Zendy; Liang Ronghua | Zendy; Wang Haixia | Zendy; Guo Xinxin | Zendy

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Synthesis 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.

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