Paper
21 May 2015 Acceleration of generalized adaptive pulse compression with parallel GPUs
Author Affiliations +
Abstract
Super-computing based on Graphic Processing Unit (GPU) has become a booming field both in research and industry. In this paper, GPU is applied as the main computing device on traditional RADAR super resolution algorithms. Comparison is provided between GPU and CPU as computing architecture and MATLAB, as a widely used scientific implementation, is also included as well as C++ implementation in demonstrations of CPU part in the comparison. Fundamental RADAR algorithms as matched filter and least square estimation (LSE) are used as standard procedure to measure the efficiency of each implementation. Based on the result in this paper, GPU shows an enormous potential to expedite the traditional process of RADAR super-resolution applications.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingxiao Cai and Yan Rockee Zhang "Acceleration of generalized adaptive pulse compression with parallel GPUs", Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 946107 (21 May 2015); https://doi.org/10.1117/12.2176849
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Radar

MATLAB

Surveillance

Algorithm development

Digital filtering

Super resolution

C++

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