A PRIOR PARAMETER EXTRACTION METHOD FOR THE SOLUTION OF WIDE-ANGLE ELECTROMAGNETIC SCATTERING PROBLEMS BASED ON COMPRESSED SENSING

2021 ◽  
Vol 102 ◽  
pp. 207-215
Author(s):  
Daoping Wang ◽  
Ming Sheng Chen ◽  
Xin-Yuan Cao ◽  
Qi Qi ◽  
Xiangxiang Liu ◽  
...  
2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Guo-hua Wang ◽  
Ying-bao Geng

When solving the electromagnetic scattering problems over wide angle, the traditional method of moments (MoM) needs to repeat the solving process of dense systems of linear equations using the iteration method at each incident angle, which proved to be quite inefficient. To circumvent this problem, a fast numerical method based on block LDLT factorization accelerated by adaptive cross approximation (ACA) algorithm is presented to analyze the electromagnetic scattering of left-handed materials (LHM) coated target. The ACA algorithm is applied to impedance matrix filling and all steps of block LDLT factorization process, which can accelerate the computation process and reduce the memory consumption. The numerical results proved that the proposed method is efficient in calculating monostatic RCS of LHM coated target with many required sampling angles. Compared with the traditional MoM, computation time and memory consumption are reduced effectively.


Author(s):  
Hou Dayou ◽  
Chen Mingsheng ◽  
Kong Meng ◽  
Cao Xinyuan ◽  
Zhang Liang ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yi Liu ◽  
Qi Qi ◽  
Xinyuan Cao ◽  
Mingsheng Chen ◽  
Guoqing Deng ◽  
...  

To efficiently solve the electromagnetic scattering problems over a wide incident angle, a novel scheme by introducing the two-dimensional compressive sensing theory into the wavelet method of moments is proposed. In this scheme, a linear system of equations with multiple right-hand sides in wavelet domain is formed firstly, and one side of the bilateral sparse transform to the induced current matrix is simultaneously accomplished and then the bilateral measurement of the induced current matrix is operated by the linear superposition of the right-hand side vectors a few times and the extraction of rows from the impedance matrix. Finally, after completing the other side of the bilateral sparse transform, the wide-angle problems can be solved rapidly by two times of recovery algorithm with prior knowledge. The basic principle is elaborated in detail, and the effectiveness is demonstrated by numerical experiments.


2018 ◽  
Vol 17 (2) ◽  
pp. 267-270 ◽  
Author(s):  
Xinyuan Cao ◽  
Mingsheng Chen ◽  
Xianliang Wu ◽  
Meng Kong ◽  
Jinhua Hu ◽  
...  

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