Title :
Implementing radar algorithms on CUDA hardware
Author :
Monsurro, Pietro ; Trifiletti, Alessandro ; Lannutti, Francesco
Author_Institution :
Dipt. di Ing. dell´Inf., Elettron. e delle Telecomun. (DIET), Univ. di Roma “Sapienza” Roma, Rome, Italy
Abstract :
This paper investigates the implementation of radar algorithms on Graphics Processing Units (GPUs). The focus is on electronically scanned search radars. GPUs enable to develop high performance digital processing systems with limited development time. It is possible to employ a single commercial board (an NVIDIA GeForce 680 GTX in our case) to perform all the algorithms of a search radar: downconversion, amplitude/phase correction, pulse compression, beam forming, spectrum analysis, and CFAR noise floor estimation.
Keywords :
graphics processing units; parallel architectures; search radar; CUDA hardware; GPU; graphics processing units; high performance digital processing systems; search radar algorithm; Finite impulse response filters; Graphics processing units; Hardware; Kernel; Radar; Random access memory; Signal processing algorithms; CUDA; Graphics Processing Units; parallel computing; radars;
Conference_Titel :
Mixed Design of Integrated Circuits & Systems (MIXDES), 2014 Proceedings of the 21st International Conference
Conference_Location :
Lublin
Print_ISBN :
978-83-63578-03-9
DOI :
10.1109/MIXDES.2014.6872240
