Title :
The application of compressed sensing theory in wavelet method of moments
Author :
Zhe Wang;Bing-Zhong Wang;Ya Qing Wen;Ren Wang
Author_Institution :
Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this work, we present a novel method that employs compressed sensing (CS) in method of moments (MoM). Inspired by the idea of the Wavelet-MoM, a suitable discrete wavelet transformation (DWT) matrix is used to make the classical MoM equation sparse for satisfying the sparsity requirement of CS. Then, based on the correlation between the localized solution and excitation vectors, the underdetermined equation is constructed systematically. Finally, the stagewise orthogonal matching pursuit (StOMP) method is used to fast solve the underdetermined equation. Numerical experiments are presented for validation purposes.
Keywords :
"Method of moments","Discrete wavelet transforms","Sparse matrices","Compressed sensing","Matching pursuit algorithms","Correlation","Impedance"
Conference_Titel :
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
DOI :
10.1109/APS.2015.7305133
