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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Frequency-Hopping Subspace-Based Optimization Method for Reconstruction of 2-D Large Uniaxial Anisotropic Scatterers With TE Illumination
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A Frequency-Hopping Subspace-Based Optimization Method for Reconstruction of 2-D Large Uniaxial Anisotropic Scatterers With TE Illumination

机译：基于频跳子空间的TE照明二维大单轴各向异性散射体优化方法

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摘要

Due to the nonlinear property of large uniaxial anisotropic scatterers, many iterative optimization methods have a high risk of being trapped in local minima. In this paper, a frequency-hopping subspace-based optimization method (SOM) is proposed to reconstruct the relative permittivity distribution of 2-D large uniaxial anisotropic scatterers with transverse electrical (TE) illumination. This hybrid method utilizes the results obtained at lower frequency to provide good initial guesses for higher frequency reconstruction, which reduces the occurrence of local minima for the inversion at the higher frequency. For lower frequency, it can only obtain coarse resolution image although it is unable to show the details of the scatterers. However, this coarse image provides a priori information for the reconstruction at higher frequencies to get finer resolution. Numerical examples demonstrate that the proposed hybrid method can effectively rebuild large uniaxial anisotropic scatterers (six wavelengths) with higher stability compared with conventional SOM that uses only single-frequency data.
机译：由于大型单轴各向异性散射体的非线性特性，许多迭代优化方法都有陷入局部极小值的高风险。本文提出了一种基于跳频子空间的优化方法（SOM），以重构带有横向电（TE）照明的二维大单轴各向异性散射体的相对介电常数分布。这种混合方法利用在较低频率下获得的结果为较高频率的重建提供良好的初始猜测，从而减少了在较高频率下进行反演的局部极小值的发生。对于较低的频率，尽管无法显示散射体的详细信息，但只能获得粗分辨率的图像。但是，此粗糙图像为在更高频率下进行重构提供了先验信息，从而获得了更高的分辨率。数值算例表明，与仅使用单频数据的常规SOM相比，所提出的混合方法可以有效地重建具有较大稳定性的大型单轴各向异性散射体（六个波长）。

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