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首页> 外文期刊>International journal of antennas and propagation >A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation
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A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation

机译：压缩感知和自适应交叉近似的多入射角电磁散射问题快速混合计算方法

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摘要

A hybrid compressive approach for fast computation of the electromagnetic scattering problems with multiple incident angles is proposed. The compressive sensing (CS) technique is firstly introduced to the method of moment (MoM) to reduce the number of the right-hand sides (RHS), but since the resulting excitation matrix contains linear dependency and has low-rank characteristics, the adaptive cross approximation (ACA) algorithm is used to recompress such excitation matrix, keeping only the necessary physical information. The hybrid compressive approach can reduce the number of the RHS to lower level. In fact, the ratio of the number of the RHS between the compressed excitation matrix and the original excitation matrix in the conventional MoM is close to one to fifteen. Numerical results are presented to validate the efficiency and accuracy of this method, which turns out to be highly efficient and accurate for the solution to multiple incident angles electromagnetic scattering problems.
机译：提出了一种用于快速计算具有多个入射角的电磁散射问题的混合压缩方法。首先将压缩感测（CS）技术引入矩量方法（MoM）中，以减少右侧的数量（RHS），但是由于生成的激励矩阵包含线性相关性且具有低秩特性，因此自适应交叉逼近（ACA）算法用于重新压缩此类激励矩阵，仅保留必要的物理信息。混合压缩方法可以将RHS的数量减少到更低的水平。实际上，在传统的MoM中，压缩激励矩阵和原始激励矩阵之间的RHS数目之比接近于1到15。数值结果证明了该方法的有效性和准确性，结果证明该方法对于解决多个入射角电磁散射问题具有很高的效率和准确性。

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  • 来源
    《International journal of antennas and propagation》 |2016年第1期|1416094.1-1416094.6|共6页
  • 作者

    Wang Guo-hua; Sun Yu-fa;

  • 作者单位

    Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China;

    Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China;

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