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Proceedings Paper

Acceleration of generalized adaptive pulse compression with parallel GPUs
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Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 8 pages
Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 946107 (21 May 2015); doi: 10.1117/12.2176849
Show Author Affiliations
Jingxiao Cai, The Univ. of Oklahoma (United States)
Yan Rockee Zhang, The Univ. of Oklahoma (United States)


Published in SPIE Proceedings Vol. 9461:
Radar Sensor Technology XIX; and Active and Passive Signatures VI
G. Charmaine Gilbreath; Kenneth I. Ranney; Armin Doerry; Chadwick Todd Hawley, Editor(s)

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