Title :
GPU advancements reduce simulation times for 25 GHz automotive radar models
Author :
Barney, M. Jeffrey
Author_Institution :
Remcom Inc., State College, PA, USA
Abstract :
The high frequencies utilized by automotive radar sensors, coupled with the electrically large fascia in front of the sensors, have posed a challenge for simulation software in the form of long simulation times. Advances in NVIDIA graphics processing units (GPUs) have alleviated this problem, increasing the productivity of RF engineers who need high fidelity simulations of a sensor behind fascia. Using a 25 GHz short-range radar (SRR) model, this paper compares multiple GPU architectures released in 2007 through 2013 to look at the downward trend in simulation times. A larger than 65% decrease in simulation times is observed, which allows a fully detailed sensor simulation to run in less than 4 hours on modern GPUs.
Keywords :
graphics processing units; intelligent transportation systems; road vehicle radar; GPU architectures; NVIDIA graphics processing units; RF engineers; SRR model; automotive radar model; automotive radar sensors; electrically large fascia; frequency 25 GHz; short-range radar model; Computational modeling; Computer architecture; Fascia; Graphics processing units; Random access memory; Sensors; Solid modeling;
Conference_Titel :
Antennas and Propagation (EuCAP), 2015 9th European Conference on
Conference_Location :
Lisbon