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• W2059095496 abstract "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." @default.
• W2059095496 created "2016-06-24" @default.
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• W2059095496 date "2013-05-01" @default.
• W2059095496 modified "2023-09-26" @default.
• W2059095496 title "Computing of bistatic cross-ambiguity function on GPU" @default.
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• W2059095496 doi "https://doi.org/10.1109/isie.2013.6563754" @default.
• W2059095496 hasPublicationYear "2013" @default.
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