Quantitative signal subspace imaging
Quantitative signal subspace imaging
复制标题
定量信号子空间成像
DOI：
10.1088/1361-6420/ac349b
复制
发表时间：
2021
期刊：
影响因子：
2.1
通讯作者：
Tsogka, Chrysoula
中科院分区：
文献类型：
--
作者：
González-Rodríguez, Pedro;Kim, Arnold D.;Tsogka, Chrysoula
提出并分析了一种用于单频阵列成像的定量信号子空间成像方法。该方法是对多信号分类的扩展，利用噪声子空间确定目标的位置和支持度，利用信号子空间恢复目标的定量信息。对于点目标，我们能够恢复复反射率，对于波恩近似下的扩展目标，我们能够恢复与目标的体积和相对介电常数乘积相关的标量。我们对一个点目标的分辨率分析表明，该方法能够在亚波长分辨率下实现精确的复反射率恢复。此外，该分辨率分析表明，数据中的噪声有效地对成像函数进行了正则化，从而使有噪声的方法比无噪声的方法更加鲁棒和有效。
We develop and analyze a quantitative signal subspace imaging method for single-frequency array imaging. This method is an extension to multiple signal classification which uses (i) the noise subspace to determine the location and support of targets, and (ii) the signal subspace to recover quantitative information about the targets. For point targets, we are able to recover the complex reflectivity and for an extended target under the Born approximation, we are able to recover a scalar quantity that is related to the product of the volume and relative dielectric permittivity of the target. Our resolution analysis for a point target demonstrates this method is capable of achieving exact recovery of the complex reflectivity at subwavelength resolution. Additionally, this resolution analysis shows that noise in the data effectively acts as a regularization to the imaging functional resulting in a method that is surprisingly more robust and effective with noise than without noise.
影响因子：
3.8
作者：
P. González;A. Kim;M. Moscoso;C. Tsogka
通讯作者：
C. Tsogka
影响因子：
5.7
作者：
Crocco, Lorenzo;Catapano, Ilaria;Isernia, Tommaso
通讯作者：
Isernia, Tommaso
使用线性采样和 ACO 的 3D 微波成像混合方法
影响因子：
5.7
作者：
M. Brignone;G. Bozza;A. Randazzo;M. Piana;M. Pastorino
通讯作者：
M. Pastorino