| 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 201908779137.pdf（580KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment