奇异值分解
矩阵铅笔
汉克尔矩阵
基质(化学分析)
稀疏矩阵
维数(图论)
矩阵分解
算法
数学
铅笔(光学)
单条目矩阵
平面的
稀疏数组
对称矩阵
计算机科学
方阵
组合数学
数学分析
物理
光学
特征向量
材料科学
计算机图形学(图像)
量子力学
复合材料
高斯分布
作者
Pengfei Gu,Wang Gui,Zhenhong Fan,Rushan Chen
标识
DOI:10.1109/tap.2019.2931959
摘要
An innovative noniterative approach based on the matrix enhancement and matrix pencil (MEMP) is proposed for the synthesis of arbitrary sparse planar arrays. In this study, the estimation of array parameters is recast as a 2-D pole extraction problem, and the number of array elements is minimized by the reduced rank processing. Subsequently, the Hankel matrix decomposition algorithm is exploited to accelerate the singular value decomposition (SVD) of the Hankel matrix constructed by the desired pattern samples, which conquers the restriction on the matrix dimension of the sampled Hankel matrix with the increasing of the number of array elements. The MEMP approach is further extended to the synthesis of shaped-beam patterns by using the forward-backward matrix enhancement and matrix pencil method (FBMEMP). A set of representative numerical experiments is provided to validate the effectiveness and advantages of the proposed method.
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