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.

引用

页数：5

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