NSSC OpenIR
Synthesis of Sparse Planar Arrays Using Off-grid CS
Alternative TitleWOS:000540969400308
Zhao, X.; Yang, Q.; Zhang, Y.
Source Publication2019 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2019)
2019
Language英语
ISBN978-7-9009-1404-0
AbstractA novel method for the synthesis of sparse planar arrays with prescribed pattern features is presented. Unlike conventional compressed sensing (CS) approach, the active elements are not assumed to lie on the pre-specified grids, but can be randomly distributed in the given array aperture. Towards this end, the synthesis problem is formulated as a ridge regression model with the element excitations and locations all unknows. The alternative optimization strategy can be adopted herein to solve the synthesis model by estimating the layout and the excitation of the sparse planar array, simultaneously. Numerical results show the effectiveness of the proposed method in the reduction of the number of elements as well as reconstructing the desired focused pattern and flat-top pattern accurately.
Conference NameInternational Symposium on Antennas and Propagation (ISAP)
Conference DateOCT 27-30, 2019
Conference PlaceXian, PEOPLES R CHINA
Indexed ByCPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7780
Collection中国科学院国家空间科学中心
Affiliation1.[Zhao, X.
2.Yang, Q.
3.Zhang, Y.] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhao, X.,Yang, Q.,Zhang, Y.. Synthesis of Sparse Planar Arrays Using Off-grid CS[C],2019.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, X.]'s Articles
[Yang, Q.]'s Articles
[Zhang, Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, X.]'s Articles
[Yang, Q.]'s Articles
[Zhang, Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, X.]'s Articles
[Yang, Q.]'s Articles
[Zhang, Y.]'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.