雷达辅助决策大数据应用探析

Application of Big Data in Radar Decision Assistance

大数据时代,雷达数据呈现信息多维海量、处理动态复杂、数据多源异构、价值高密度低的特点,如何解决多源数据存储难、处理难、融合难、挖掘难的问题,是提升雷达辅助决策能力的关键。文中提出一种基于大数据的雷达辅助决策架构,研究了基于云计算的雷达数据处理、基于知识图谱的关联分析、基于深度学习的目标识别等关键技术。相对于传统系统,具有雷达数据全源引接、实时计算、深度挖掘、智能识别等优点,提升了雷达辅助决策智能化水平。

In the era of big data,radar data has the characteristics of multidimensional massive information,complex dynamic processing,multi-source heterogeneous,high value and low density. Therefore,the key task of radar decision system is to solve the problem of data storage,process,fusion and analysis.In this paper,a radar decision assistant system based on big data is proposed. Moreover,a scheme of radar data process based on cloud,a method of radar data analysis based on knowledge graphics,a method of target recognization based on deep learning is demonstrated. The new system has a high performance in multi-source data acquisition,large-volume data storage and computation,multi-dimension data mining and intelligent target recognization. As a result,it is capable to provide intelligence for radar decision assistance.