12 May 2016 Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)
Author Affiliations +
Abstract
This study introduces a practical approach to develop real-time signal processing chain for general phased array radar on NVIDIA GPUs(Graphical Processing Units) using CUDA (Compute Unified Device Architecture) libraries such as cuBlas and cuFFT, which are adopted from open source libraries and optimized for the NVIDIA GPUs. The processed results are rigorously verified against those from the CPUs. Performance benchmarked in computation time with various input data cube sizes are compared across GPUs and CPUs. Through the analysis, it will be demonstrated that GPGPUs (General Purpose GPU) real-time processing of the array radar data is possible with relatively low-cost commercial GPUs.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fanxing Kong, Fanxing Kong, Yan Rockee Zhang, Yan Rockee Zhang, Jingxiao Cai, Jingxiao Cai, Robert D. Palmer, Robert D. Palmer, "Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)", Proc. SPIE 9829, Radar Sensor Technology XX, 982914 (12 May 2016); doi: 10.1117/12.2222282; https://doi.org/10.1117/12.2222282
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT


Back to Top