Title :
Detection and characterization of small targets: Compressive sensing approach
Author :
Li Pan;Xudong Chen
Author_Institution :
Department of Electrical and Computer Engineer, National University of Singapore, Singapore
Abstract :
We present an approach based on compressive sensing algorithm and random antenna array for small target imaging problems. The inverse problem is nonlinear in principle, whereas we proposed a two-step approach and solved the problem without iteratively evaluating the corresponding forward problem. In numerical simulations, this method is applied to a specific example, and the simulation result shows that the method is able to locate small targets and determine their permittivity information accurately and quickly.
Keywords :
"Decision support systems","Conferences","Apertures"
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference on
DOI :
10.1109/APSAR.2015.7306209