Synthesis of Non-separable Sparse Planar Array via Compressed Sensing

doi:10.1109/COMPEM.2019.8779137

	Synthesis of Non-separable Sparse Planar Array via Compressed Sensing
	Zhao, Xiaowen; Yang, Qingshan; Zhang, Yunhua
	2019
会议日期	March 20, 2019 - March 22, 2019
会议地点	Shanghai, China
DOI	10.1109/COMPEM.2019.8779137
英文摘要	In this paper, an effective method is proposed for synthesizing non-separable sparse planar array to match the desired radiation pattern using as few elements as possible. The original synthesis is formulated as a sparse signal recovery convex problem based on Compressed Sensing (CS) theory by sampling on the reference 3-D pattern along with discretizing the 2-D aperture. In this way, the proposed method has the capability of achieving a complete optimization on the number of elements, the element weights as well as the element positions. Numerical experiment for matching non-separable Chebyshev pattern will demonstrate the effectiveness and sparseness of the proposed method. © 2019 IEEE.
会议录	2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings
语种	英语
ISBN号	9781538671115
内容类型	会议论文
源URL	[http://ir.nssc.ac.cn/handle/122/7174]
专题	国家空间科学中心_微波遥感部
作者单位	Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Zhao, Xiaowen,Yang, Qingshan,Zhang, Yunhua. Synthesis of Non-separable Sparse Planar Array via Compressed Sensing[C]. 见:. Shanghai, China. March 20, 2019 - March 22, 2019.