NSSC OpenIR  > 微波遥感部
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 PublicationProceedings of the 2018 IEEE 7th Asia-Pacific Conference on Antennas and Propagation, APCAP 2018
2018
Pages124-125
DOI10.1109/APCAP.2018.8538246
Language英语
ISBN9781538656488
AbstractA 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 Name7th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2018
Conference DateAugust 5, 2018 - August 8, 2018
Conference PlaceAuckland, New zealand
Indexed ByEI
Citation statistics
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6718
Collection微波遥感部
Affiliation1.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-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Xiaowen]'s Articles
[Yang, Qingshan]'s Articles
[Zhang, Yunhua]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Xiaowen]'s Articles
[Yang, Qingshan]'s Articles
[Zhang, Yunhua]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Xiaowen]'s Articles
[Yang, Qingshan]'s Articles
[Zhang, Yunhua]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.