Share Email Print
cover

Proceedings Paper

Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)
Author(s): Fanxing Kong; Yan Rockee Zhang; Jingxiao Cai; Robert D. Palmer
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 12 May 2016
PDF: 7 pages
Proc. SPIE 9829, Radar Sensor Technology XX, 982914 (12 May 2016); doi: 10.1117/12.2222282
Show Author Affiliations
Fanxing Kong, The Univ. of Oklahoma (United States)
Yan Rockee Zhang, The Univ. of Oklahoma (United States)
Jingxiao Cai, The Univ. of Oklahoma (United States)
Robert D. Palmer, The Univ. of Oklahoma (United States)


Published in SPIE Proceedings Vol. 9829:
Radar Sensor Technology XX
Kenneth I. Ranney; Armin Doerry, Editor(s)

© SPIE. Terms of Use
Back to Top