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
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;
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2013
Conference_Location :
Chengdu
DOI :
10.1109/CSQRWC.2013.6657371
