A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-23
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Guo-hua& Sun, Yufa. 2016. A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation. International Journal of Antennas and Propagation،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1105071
Modern Language Association (MLA)
Wang, Guo-hua& Sun, Yufa. A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation. International Journal of Antennas and Propagation No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1105071
American Medical Association (AMA)
Wang, Guo-hua& Sun, Yufa. A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation. International Journal of Antennas and Propagation. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1105071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105071