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基于GPU的信息融合并行方法研究 被引量:1

Parallel Method Techniques for Information Fusion Based on GPU
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摘要 针对多传感器信息融合处理时延大和高实时性要求之间的矛盾,提出一种基于GPU的并行计算方法,并针对并行方法进行了模拟仿真。实验结果表明,GPU并行方法适用于信息融合技术,为解决融合算法耗时大的问题提供了一种新思路。 In order to solve the contradiction between large-time delay and high real-time requirement of multi sensor information fusion,A parallel method based on GPU is proposed and simulated.The result of simulation shows that the method is effective,which provides new mentality to solve the large time-cosuming of information fusion algorithm.
出处 《舰船电子工程》 2016年第6期35-37,113,共4页 Ship Electronic Engineering
关键词 信息融合 并行计算 GPU CUDA information fusion parallel computing GPU CUDA
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