Modelling of noisy EM field propagation using correlation information of sampled data
Modelling of noisy EM field propagation using correlation information of sampled data
复制标题
使用采样数据的相关信息对噪声电磁场传播进行建模
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Russer
中科院分区：
文献类型：
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作者：
J. Russer;F. Mukhtar;Oliver Filonik;G. Scarpa;P. Russer
具有高斯振幅概率分布的随机电磁场可以用场分量的自相关谱和互相关谱来描述。必须知道在不同空间点处获取的场分量对的互相关谱。在这项工作中，我们提出了一种方法来计算近场和远场传播的随机电磁场变换的场相关矩阵使用自由空间绿色的功能。
Stochastic electromagnetic fields with Gaussian amplitude probability distribution can be fully described by auto-and cross correlation spectra of the field components. The cross correlation spectra have to be known for the the pairs of field components taken at different spatial points. In this work we present a methodology for computing near- and far-field propagation of the stochastic electromagnetic field by transformation of the field correlation matrices using free-space Green's functions.
影响因子：
2.1
作者：
Xin Tong;David W. P. Thomas;A. Nothofer;P. Sewell;C. Christopoulos
通讯作者：
Xin Tong;David W. P. Thomas;A. Nothofer;P. Sewell;C. Christopoulos