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面向多雷达数据融合的并行数据编排框架研究
引用本文:施岩龙,王雪,陆小科.面向多雷达数据融合的并行数据编排框架研究[J].现代雷达,2015(10):39-42.
作者姓名:施岩龙  王雪  陆小科
作者单位:南京电子技术研究所,南京210039;南京航空航天大学计算机科学与技术学院,南京210016;南京电子技术研究所,南京210039
摘    要:在多雷达数据融合中,数据编排方式是多雷达组网系统成败的关键因素之一。随着数据融合系统中处理容量的迅速增长,串行数据编排融合框架已经不能满足多雷达组网需求。文中针对大容量数据融合系统提出了一种并行数据编排框架,使用OpenMP 并行技术进行了实现。仿真结果表明,并行数据编排框架相比较于串行处理方式具有较高的加速比,实时性高,满足了大规模多雷达组网的需求,并且具有良好的扩展性。

关 键 词:数据编排  并行处理  数据融合  雷达组网

A Study on Parallel Data Management Framework of Multi-radar Data Fusion
SHI Yanlong,WANG Xue and LU Xiaoke.A Study on Parallel Data Management Framework of Multi-radar Data Fusion[J].Modern Radar,2015(10):39-42.
Authors:SHI Yanlong  WANG Xue and LU Xiaoke
Affiliation:Nanjing Research Institute of Electronics Technology,Nanjing 210039, China;College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautic,Nanjing 210016, China;Nanjing Research Institute of Electronics Technology,Nanjing 210039, China
Abstract:Data management is one of the key factors in multi-radar data fusion. As the process capacity increased rapidly, the framework of serial data management cannot satisfy the requirements of data fusion any more. In this paper, a framework of parallel data management model is presented, and an OpenMP method of parallel technology is used to implement it. Simulation show that the parallel data management framework use to data fusion obtain a good speedup, it can satisfy the large scale multi-radar data fusion and has a good scalability.
Keywords:data management  parallel process  data fusion  radar net
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