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Synthesis of Non-separable Sparse Planar Array via Compressed Sensing
Zhao, Xiaowen; Yang, Qingshan; Zhang, Yunhua
Department微波遥感部
Source Publication2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings
2019
DOI10.1109/COMPEM.2019.8779137
Language英语
ISBN9781538671115
AbstractIn this paper, an effective method is proposed for synthesizing non-separable sparse planar array to match the desired radiation pattern using as few elements as possible. The original synthesis is formulated as a sparse signal recovery convex problem based on Compressed Sensing (CS) theory by sampling on the reference 3-D pattern along with discretizing the 2-D aperture. In this way, the proposed method has the capability of achieving a complete optimization on the number of elements, the element weights as well as the element positions. Numerical experiment for matching non-separable Chebyshev pattern will demonstrate the effectiveness and sparseness of the proposed method. © 2019 IEEE.
Conference Name5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019
Conference DateMarch 20, 2019 - March 22, 2019
Conference PlaceShanghai, China
Indexed ByEI
Citation statistics
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7174
Collection微波遥感部
AffiliationKey Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Zhao, Xiaowen,Yang, Qingshan,Zhang, Yunhua. Synthesis of Non-separable Sparse Planar Array via Compressed Sensing[C],2019.
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201908779137.pdf(580KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
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