Computing of Bistatic Cross-Ambiguity Function on GPU

被引：0
|
作者：
Pidanic, Jan [1 ]
Nemec, Zdenek [1 ]
Dolecek, Radovan [1 ]
Bezousek, Pavel [1 ]
机构：
[1] Univ Pardubice, Fac Elect Engn & Informat, Dept Elect Engn, Pardubice, Czech Republic
来源：
2013 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2013年
关键词：
cross ambiguity function; GPU; algorithms; passive coherent location;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The real-time computation of cross ambiguity function (CAF) using brute force and block processing methods is a challenging task for parallel programming techniques. CAF is a key function for successful location tracking by passive radar systems. In this paper, the comparison of CAF methods computation and using a Graphics Processing Unit (GPU) are presented. The main goal of the research is to compare the computation efficiency and speed of the CAF methods on the GPU hardware with a single or multi-Core PC workstation. The results show the highest speed-up factor using GPU for all CAF methods.
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页数：5
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