DocumentCode
2132541
Title
Application of combination of excitations and compressed sensing for fast computation of monostatic scattering
Author
Xin He ; Jun Hu ; Zai-Ping Nie
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
21-25 July 2013
Firstpage
136
Lastpage
139
Abstract
This paper introduces a new-type combination of excitations to reduce the amount of data needed for monostatic excitation vectors, instead of multiple excitations over a wide angle. And based on MLFMA we used Compressive Sensing (CS) technique to recover original signal. Numerical results demonstrate that the combination of excitations is efficient to solve 3D monostatic scattering problems.
Keywords
compressed sensing; numerical analysis; scattering; 3D monostatic scattering problems; MLFMA; compressive sensing technique; excitations; fast computation; monostatic excitation vectors; monostatic scattering; signal recovery; Antenna measurements; Antennas and propagation; Electromagnetics; Sensors; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2013
Conference_Location
Chengdu
Type
conf
DOI
10.1109/CSQRWC.2013.6657371
Filename
6657371
Link To Document