Study of Target Information Processing based on Fusion Algorithm Model

被引：0
|
作者：
Bin Chen, Pei [1 ]
Hu, Lan [1 ]
Yang, Hui [1 ]
Xue, Xiang Feng [1 ]
机构：
[1] New Star Applicat Technol Inst, Hefei, Peoples R China
来源：
MANUFACTURING, DESIGN SCIENCE AND INFORMATION ENGINEERING, VOLS I AND II | 2015年
关键词：
Information; Target; Hierarchical fusion algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Information accuracy and real-time performance is an important content of the battlefield information processing. When processing the battlefield information collected by distributed sensors, the measured spatial dispersion has a great influence on the results of information processing. Aiming at this problem, based on the fuzzy sets theory and genetic algorithm, an information processing fusion model is proposed to suit the battlefield target in clutter background, i.e. hierarchical fusion algorithm. Taking the battlefield information processing for example, the simulation results show that: the algorithm model can accurately process the battlefield information efficiently and concisely.
引用
收藏
页码：1367 / 1373
页数：7
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