scholarly journals Nested Fast Adaptive Cross Approximation Algorithm for Solving Electromagnetic Scattering Problems

2020 ◽  
Vol 68 (12) ◽  
pp. 4995-5003
Author(s):  
Xiaoxing Fang ◽  
Alexander Heldring ◽  
Juan M. Rius ◽  
Xinlei Chen ◽  
Qunsheng Cao
Keyword(s):  
Approximation Algorithm ◽  
Electromagnetic Scattering ◽  
Scattering Problems ◽  
Adaptive Cross Approximation

scholarly journals A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Guo-hua Wang ◽  
Yu-fa Sun
Keyword(s):  
Compressive Sensing ◽  
Electromagnetic Scattering ◽  
Hybrid Approach ◽  
Low Rank ◽  
Fast Computation ◽  
Method Of Moment ◽  
Scattering Problems ◽  
Adaptive Cross Approximation ◽  
Physical Information ◽  
The Right

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.

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