电讯技术2017，Vol.57Issue(11)：1272-1277,6.DOI:10.3969/j.issn.1001-893x.2017.11.008
一种基于Map/Reduce的并行化敌我识别信号关联方法
A Map/Reduce-based Parallelization IFF Signal Correlation Method
刘勇1
作者信息
- 1. 中国西南电子技术研究所,成都610036
- 折叠
摘要
Abstract
With the wide deployment of identification between friend or foe ( IFF ) reconnaissance equip-ment, its reconnaissance data has exploded, mass multi-source and complex signal reconnaissance data puts forward higher requirements for the analysis of back end data. As the analysis of traditional stand-lone IFF signal correlation method is slow and inefficient, through researching on the split characteristic of the correlation process, this paper presents a new IFF signal clustering and correlation analysis method based on Map/Reduce, which dismantles the traditional method by azimuth and time and computes in distributed parallel way on large data platform, thus greatly enhancing the analysis efficiency. The experimental results show that the calculation efficiency is 10 times higher than that of the traditional method when the data vol-ume reaches more than 108 .关键词
敌我识别/大数据/信号聚类/信号关联Key words
IFF/big data/signal clustering/signal correlation分类
信息技术与安全科学引用本文复制引用
刘勇..一种基于Map/Reduce的并行化敌我识别信号关联方法[J].电讯技术,2017,57(11):1272-1277,6.
