Multi-Information PCA Fusion Scheme of Electronic Warfare Based on DS

被引：0
作者：
Zheng D.-S. [1 ,2 ]
Li X.-Y. [2 ]
Cai J.-Y. [2 ]
机构：
[1] School of Computer Science, Southwest Petroleum University, Chengdu
[2] School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2019年 / 48卷 / 03期
关键词：
Big data; DS Theory; Multi-system information analysis; Multiple information fusion; Principal component analysis;
D O I：
10.3969/j.issn.1001-0548.2019.03.016
中图分类号：
学科分类号：
摘要：
In this paper, a new type of principal component analysis (PCA) for electronic warfare information integration fusion scheme is presented. Based on DS theory of information fusion, the PCA method is used to collect data and reduce dimensions, and the basic trust distribution function is established for feature layer data to realize further based data fusion. The electronic warfare system information is intelligently diagnosed and mined to effectively achieve the fault detection and separation of electronic warfare system. Furthermore, the device status is evaluated and timely sent the control system through the big data mining, thus implementing the reasonable guidance and early warning and control for operational strategy in warfare procedure. © 2019, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码：409 / 414
页数：5
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