在分析多功能雷达数据特点的基础上,提出基于大数据开展多功能雷达性能阵地现场优化的基本框架,分析大数据应用在数据获取、数据存储、数据处理等方面对雷达的需求,给出大数据应用需重点解决的环境感知与自适应学习、海量数据管理、高价值信息挖掘、基于评估结果反馈的系统参数优化等关键技术问题,为未来大数据在多功能雷达性能阵地现场优化中的工程应用提供借鉴和支撑。

On the basis of analyzing data characteristics of multifunction radar, the basic framework of site performance optimization based on big data is put forward, the requirements of radar for big data application in data acquisition, data storage and data processing are analyzed, and the key technologies about environmental perception and adaptive learning, massive data management, high value information mining and system parameter optimization based on feedback of evaluation results to be soloved for site optimizaiton based on big data are given. On the whole, the research can provide reference and support for the actual applicaiton of big data in site performance optimization for multifunction radar in the future.

TN958