Title :
Wideband radar imaging based on GTD model and compressed sensing
Author :
Shouqing Jia;Dongsheng La
Author_Institution :
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China
Abstract :
It is attractive for wideband Radar system that sampling rate can be reduced by compressed sensing method. The GTD model can simulate wideband scattering with high accuracy. A novel compressed sensing method for parameter estimation of GTD model is proposed. By this method, scatter intensity and frequency dependent factor are estimated alternately. Simulation results show that this method is more accurate.
Keywords :
"Decision support systems","Diffraction","Radar imaging"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428631
