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Synthesis of Sparse Linear Array with Multiple Patterns Based on Joint Sparse Recovery
Zhao, Xiaowen; Yang, Qingshan; Zhang, Yunhua; Zhang, Yunhua; Zhao, XW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing, Peoples R China.
Department微波遥感部
Source Publication2017 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING
2017
Pages425-426
Language英语
ISSN1522-3965
ISBN978-1-5386-3284-0
AbstractAn innovative methodology based on joint sparse recovery is proposed for sparse linear array synthesis using a minimum number of elements to generate multiple patterns with different shapes. The synthesis is formulated as a convex problem with the minimization of mixed l(2)/l(1)-norm in terms of the joint sparse recovery in Compressed Sensing. Then convex optimization is properly adopted to solve the above problem efficiently. The proposed method can perform a complete optimization on the number of elements, the common element positions as well as the individual element excitations for all desired patterns simultaneously. Preliminary results are presented to show the effectiveness and flexibility of the proposed method in achieving a sparse linear array including focused, cosec-squared and flat-topped beams.
KeywordSparse Array Synthesis Multi Patterns Joint Sparse Recovery Convex Optimization Compressed Sensing
Conference NameInternational Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting
Conference DateJUL 09-14, 2017
Conference PlaceSan Diego, CA
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6226
Collection微波遥感部
Corresponding AuthorZhao, XW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Zhao, Xiaowen,Yang, Qingshan,Zhang, Yunhua,et al. Synthesis of Sparse Linear Array with Multiple Patterns Based on Joint Sparse Recovery[C],2017:425-426.
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