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天波超视距雷达信号处理的并行化
引用本文:陆庆五,卢琨,刘兴钊.天波超视距雷达信号处理的并行化[J].上海交通大学学报,2004,38(2):236-239,247.
作者姓名:陆庆五  卢琨  刘兴钊
作者单位:上海交通大学,电子工程系,上海,200030
摘    要:在Sun工作站群,Sun HPC Cluster Tools系统和MPI消息传递接口环境下,研究了天波超视距雷达信号处理的并行化,对其两个核心部分二维FFT(距离-多普勒变换)和数字波束形成实现了并行。通过不同粒度并行方案的比较发现,粗粒度方案在MPI环境下具有较好的并行效果,同时在现有硬件和软件环境下进行了方案的比较、选择、可扩展性的分析和设计,实验结果表明,并行处理方案在数据处理的速度和实时性方面有较大提高。

关 键 词:超视距雷达  信号处理  并行计算  工作站群
文章编号:1006-2467(2004)02-0236-04

Parallel Signal Processing for High Frequency Sky-Wave Over-the-Horizon Radar
LU Qing-wu,LU Kun,LIU Xing-zhao.Parallel Signal Processing for High Frequency Sky-Wave Over-the-Horizon Radar[J].Journal of Shanghai Jiaotong University,2004,38(2):236-239,247.
Authors:LU Qing-wu  LU Kun  LIU Xing-zhao
Abstract:This paper discussed parallel signal processing for high frequency over-the-horizon radar via cluster of workstations (COW), Sun HPC ClusterTools and message passing interface (MPI). There are two key parts of the signal processing algorithms, two-dimensional FFT (Range-Doppler transform) and digital beamforming (DBF). Of the different computing load distribution schemes, the coarse-grained scheme has better performance for MPI, and the scalability of the algorithm was analyzed and discussed for the special hardware and software configure. The simulation results demonstrate that the speed and performance of the parallel scheme are improved evidently.
Keywords:over-the-horizon radar  signal processing  parallel computing  cluster of workstation (COW)
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