Synthesis of Non-separable Sparse Planar Array via Compressed Sensing | |
Zhao, Xiaowen; Yang, Qingshan; Zhang, Yunhua | |
Department | 微波遥感部 |
Source Publication | 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings |
2019 | |
DOI | 10.1109/COMPEM.2019.8779137 |
Language | 英语 |
ISBN | 9781538671115 |
Abstract | In 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 Name | 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 |
Conference Date | March 20, 2019 - March 22, 2019 |
Conference Place | Shanghai, China |
Indexed By | EI |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/7174 |
Collection | 微波遥感部 |
Affiliation | Key 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-SA | View Download |
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