Title :
A GPU accelerated architecture for real-time GPR image reconstruction
Author :
Greene, David J. ; Odejayi, Ayotunde ; Ndoye, Mandoye ; Anderson, John M. M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Howard Univ., Washington, DC, USA
Abstract :
The Ultra-Wideband (UWB) Synchronous Impulse Reconstruction (SIRE) Ground Penetrating Radar (GPR) is a vehicle-mounted radar system developed by the US Army Research Laboratory to enable better imaging of landmines and improvised explosive devices. At the Howard University Electromagnetic Imaging Lab, we have proposed novel and parallelizable imaging algorithms that are well-suited to the UWB-SIRE-GPR system. In this paper, we present our work on a GPU accelerated architecture that provides true, real-time GPR image reconstruction from real data collected by the UWB-SIRE-GPR system. Preliminary results show that our solution is economical, powerful, and applicable to a wide variety of other GPR systems.
Keywords :
ground penetrating radar; image reconstruction; radar computing; radar imaging; GPR image reconstruction; GPU accelerated architecture; Howard University Electromagnetic Imaging Lab; US Army Research Laboratory; UWB-SIRE-GPR system; real-time GPR image reconstruction; ultrawideband synchronous impulse reconstruction ground penetrating radar; vehicle-mounted radar system; Graphics processing units; Ground penetrating radar; Image reconstruction; Instruction sets; Radar imaging; Receivers;
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
DOI :
10.1109/RADAR.2015.7130986
