Synthesis of Sparse Linear Array with Multiple Patterns Based on Joint Sparse Recovery

	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.
	2017
会议日期	JUL 09-14, 2017
会议地点	San Diego, CA
关键词	Sparse Array Synthesis Multi Patterns Joint Sparse Recovery Convex Optimization Compressed Sensing
页码	425-426
英文摘要	An 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.
会议录	2017 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING
语种	英语
ISSN号	1522-3965
ISBN号	978-1-5386-3284-0
内容类型	会议论文
源URL	[http://ir.nssc.ac.cn/handle/122/6226]
专题	国家空间科学中心_微波遥感部
通讯作者	Zhao, XW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing, Peoples R China.
推荐引用方式 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]. 见:. San Diego, CA. JUL 09-14, 2017.