| Synthesis of Subarrayed Linear Array via l1-norm Minimization Compressed Sensing Method | |
| Zhao, Xiaowen1; Yang, Qingshan1; Zhang, Yunhua2 | |
| Department | 微波遥感部 |
| Source Publication | Proceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018 |
| 2018 | |
| Pages | 124-125 |
| DOI | 10.1109/APCAP.2018.8538246 |
| Language | 英语 |
| ISBN | 9781538656488 |
| Abstract | A novel method is proposed for synthesizing subar-rayed linear array using as few subarrays as possible. According to Compressed Sensing theory, the synthesis herein can be for-mulated as a convex problem with l1norm minimization by de-veloping a sparse basis, which benefits from the fact that the element weighting vector is compressible and has a sparse representation. In this way, the corresponding parameters including the number of subarrays, the subarray weights and sizes can be optimized simultaneously by sequential convex optimization. The proposed method is very easy to implement and has good computational efficiency. Numerical experiments are carried out to show the performance of the proposed method. © 2018 IEEE. |
| Conference Name | 7th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2018 |
| Conference Date | August 5, 2018 - August 8, 2018 |
| Conference Place | Auckland, New zealand |
| Indexed By | EI |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/6718 |
| Collection | 微波遥感部 |
| Affiliation | 1.Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, China; 2.School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China |
| Recommended Citation GB/T 7714 | Zhao, Xiaowen,Yang, Qingshan,Zhang, Yunhua. Synthesis of Subarrayed Linear Array via l1-norm Minimization Compressed Sensing Method[C],2018:124-125. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 201808538246.pdf（111KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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